Careers
Why Work at Drivestream
At Drivestream we value our employees as much as we value our customers. A Drivestreamer’s personal growth is as important to us as their professional trajectory, and we are committed to supporting their overall development.
Drivestream provides an environment that
Encourages those with “drive” to achieve more than their expectations and to accomplish great things
Fosters learning and individual growth to transform lives
Don’t take our word for it. Watch the video, and see what real Drivestreamers have to say!
What it Means to Be a Drivestreamer.
Be Driven
- Well-defined career path with clear goals & comprehensive performance review process to advance to the next level
- Grow in multiple dimensions including: delivery, technology, R&D and leadership
- Freely innovate, share & implement your ideas
- Contribute to the strategic direction of the company
Learn & Teach
- Perform on various types of engagement including tactical support, project delivery and strategic consulting
- Coaching and Mentoring Culture
- Work concurrently on multiple assignments
- Cross train on various job functions and technologies
- Participate in thought leadership activities including: webinars, seminars and white paper publications
Drivestream’s Employee Benefits.
Remuneration
Drivestream offers competitive pay and attracts a diverse community of skilled individuals. We recognize the value of investing in our talent.
Medical, Disability and Life Insurance
We provide an array of coverage options including full medical, full dental and vision plans, employee life insurance, LTD and STD coverage, flexible spending account and employee accidental death and dismemberment
Leave Benefits
Drivestream’s generous paid leave programs feature vacation/paid time off (PTO), holiday leave and bereavement leave
Professional Development
Our training and development programs include traditional classroom training, online courses, including leadership, communication and project planning development, strategic planning and management programs, and professional society membership incentive
Work/Life Programs
Drivestream offers Work-Life Integration options that help individuals manage their personal and professional responsibilities. Options Include work from home and telecommuting, day care, flexible spending accounts, internal job transfer, and career mobility, and health and wellness programs
Community Involvement
Drivestream believes in supporting community and philanthropic activities that allow our employees to engage in outreach and educational programs.
Awards Programs
Drivestream recognizes and rewards our staff through various annual awards programs.
Retirement Benefits
Drivestream offers complete 401(k) plans and annual profit-sharing contribution.
Current Job Opportunities.
United States
Lead Data Scientist - Student Success Analytics
Experience : 10 + Years
Education : Bachelor’s/Master’s degree
Work Location : USA (Remote/Hybrid)
Education : Bachelor’s/Master’s degree
Work Location : USA (Remote/Hybrid)
We’re seeking an experienced Lead Data Scientist to drive machine learning development for InsightStream AI, our groundbreaking student success platform. You’ll lead the development of predictive models that identify at-risk students and power intelligent intervention recommendations, working exclusively within the Snowflake environment to serve smaller private institutions and community colleges. This is a foundational role in a fast-growing team with a critical 3-4 Month timeline to complete our case management prototype for market launch.
- Snowflake/Snowpark expertise – Snowpark ML model development and deployment preferred.
- Classification Modeling – Student risk prediction, enrolment probability, attrition forecasting.
- Python/SQL proficiency – Building scalable ML pipelines within Snowflake constraints.
- Model explainability – Transparent ML recommendations that advisors can understand and trust.
- Semantic Data Modeling – Natural language query capabilities over educational datasets.
- Anomaly detection – Identifying unusual student behaviour patterns.
Roles and Responsibilities :
- Lead ML model development for student risk prediction and intervention recommendation systems.
- Build classification models to identify at-risk students and predict enrollment outcomes using Snowpark ML.
- Develop transparent, explainable algorithms that translate into actionable advisor recommendations.
- Create semantic models enabling natural language queries over student success data.
- Mentor data science team and establish ML best practices for the growing team.
- Collaborate closely with development team on case management system integration.
- Work with institutional partner data to refine models for diverse student populations.
- Rapidly prototype and iterate to meet aggressive product development timeline.
Required Skills (Must Have) :
- 3+ years higher education data experience – Student information systems, retention analytics, student success metrics.
- Strong Snowflake experience – Data warehousing, Snowpark preferred.
- Classification model expertise – Risk prediction, probability scoring, student outcome modeling.
- Higher ed domain knowledge – Understanding of student lifecycle, intervention strategies, institutional challenges.
- Team leadership experience – Mentoring, project oversight, cross-functional collaboration.
- FERPA/data security awareness – Educational data privacy and compliance requirements.
Professional Skills: :
- Ability to translate complex ML concepts for non-technical stakeholders.
- Strong project management in fast-paced startup environment.
- Experience working with smaller institutions’ resource constraints.
- Excellent communication with institutional partners and internal team.
Oracle Cloud ERP - Business Process COE
Experience : 15+ Years functional experience
Education : Bachelor’s/master’s degree
Work Location : USA (Remote/Hybrid)
Education : Bachelor’s/master’s degree
Work Location : USA (Remote/Hybrid)
Roles and Responsibilities :
- To provide Oracle Cloud Fusion ERP & SCM functional consulting services by playing the role of an SME, offer technical advice and support to businesses about technology that can perform critical tasks and processes with regards to client’s business.
- Understand clients existing process, identify functional gaps, advise on options, risks and impact.
- Functional/Business Requirements gathering, map them to Oracle Financials/SCM Cloud specific modules.
- Prepare Functional/Business requirements, Design, Functional strategy, Execution and Test plans.
- Validate configuration, data, testing scenarios, contribute to test scripts and execution of scripts.
- Manages scope and client expectations on projects effectively, multiple deadlines, crisis etc.,
- Interact with project team members and stake holders at all stages of the projects.
- Provide timely, clear, concise status updates, reports, timely risk mitigation.
- Responsible for the successful delivery of full-lifecycle Fusion Financials/SCM projects.
- Take ownership of the assignments given and customer issues, timely follow-ups, and escalation.
- Should be able work independently or as a team and mentor junior resources in the team.
- Has the ability to lead a team, delegate, think ahead and ensure timely completion of all tasks.
- Willingness to learn, Knowledge sharing and document the learnings.
Required Skills (Must Have) :
- Minimum of 15 Years hands-on Functional experience in Oracle EBS – ERP/SCM Applications.
- Applicants must have experience as an integral team member on at least 2 full lifecycle implementations with Oracle EBS ERP/SCM R12/Fusion ERP in a functional role.
- At least 3-5 years of in-depth experience in configuring Oracle ERP/SCM Modules.
- Should have worked in any of these 2-3 ERP/SCM modules namely GL,EX,AR,AP,FA,CM, Purchasing, Inventory, Contracts Etc..
- Good hands-on experience in Business Requirements gathering and preparing the Functional Design, Technical Design, Test Cases documents and Consulting.
- Experience defining systems strategy, developing systems requirements, designing, and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines.
Oracle Cloud HCM - Business Process COE
Experience : 15+ Years functional experience
Education : Bachelor’s/master’s degree
Work Location : USA (Remote/Hybrid)
Education : Bachelor’s/master’s degree
Work Location : USA (Remote/Hybrid)
Roles and Responsibilities :
- To provide Oracle Cloud Fusion HCM functional consulting services by playing the role of an SME, offer technical advice and support to businesses about technology that can perform critical tasks and processes with regards to client’s business.
- Understand clients existing process, identify functional gaps, advise on options, risks and impact.
- Functional/Business Requirements gathering, map them to Oracle HCM Cloud specific modules.
- Prepare Functional/Business requirements, Design, Functional strategy, Execution and Test plans.
- Validate configuration, data, testing scenarios, contribute to test scripts and execution of scripts.
- Manages scope and client expectations on projects effectively, multiple deadlines, crisis etc.,
- Interact with project team members and stake holders at all stages of the projects.
- Provide timely, clear, concise status updates, reports, timely risk mitigation.
- Responsible for the successful delivery of full-lifecycle Fusion HCM projects.
- Take ownership of the assignments given and customer issues, timely follow-ups and escalation.
- Should be able work independently or as a team and mentor junior resources in the team.
- Has the ability to lead a team, delegate, think ahead and ensure timely completion of all tasks.
- Willingness to learn, Knowledge sharing and document the learnings.
Required Skills (Must Have) :
- Minimum of 15 Years hands-on Functional experience in Oracle EBS – HCM Applications.
- Applicants must have experience as an integral team member on at least 2 full lifecycle implementations with Oracle EBS HCM R12/Fusion HCM in a functional role.
- At least 2 years of in-depth experience in configuring Oracle HRMS Modules.
- Should have worked in any of these 2-3 HCM modules namely Core HR, Payroll, Benefits, Time and Labour, etc.
- Good hands-on experience in Business Requirements gathering and preparing the Functional Design, Technical Design, Test Cases documents and Consulting.
- Experience defining systems strategy, developing systems requirements, designing, and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines.
India
LLM Ops Engineer - Oracle Cloud Infrastructure (OCI) - AI Consulting & Strategy
Experience : 5+ Years Experience
Education : Bachelor’s/Master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Key Responsibilities :
- Deploy, scale, and maintain LLM models on OCI OKE clusters with GPU acceleration.
- Automate model deployment pipelines integrated with OCI DevOps and Terraform.
- Ensure high availability and disaster recovery using OCI region/AD-based deployment architectures.
- Implement cost and resource optimization across OCI Compute and Storage resources.
- Develop observability dashboards using OCI Monitoring and APM for LLM inference pipelines.
- Collaborate with Data Scientists to operationalize and monitor model performance in OCI environments.
- Maintain governance, compliance, and OCI security best practices for AI infrastructure.
Required Technical Skills :
OCI Infrastructure & Orchestration
- Strong experience managing AI workloads on Oracle Kubernetes Engine (OKE).
- Proficiency in OCI Compute, OCI Block Volumes, and OCI Object Storage for AI data pipelines.
- Experience with OCI Networking, Load Balancers, and Service Gateway for secure AI deployments.
- Expertise in OCI Resource Manager (Terraform on OCI) for infrastructure-as-code deployments.
Model Deployment & CI/CD Pipelines
- Build and automate model deployment pipelines using OCI DevOps, or MLflow.
- Deploy and manage model inference using OCI Data Science, Triton, or vLLM on GPU-enabled OKE clusters.
- Integrate OCI Functions for serverless orchestration and model triggering workflows.
Monitoring & Observability
- Implement observability using OCI Monitoring, Logging, and Application Performance Monitoring (APM).
- Track AI-specific metrics for latency, token usage, drift detection, and GPU performance.
- Cloud Resource Optimization:
- Leverage OCI Cost Analysis and Budget tools for AI resource optimization.
- Implement GPU auto-scaling and OCI Autoscaling policies for high-performance LLM workloads.
- Monitor compute and network usage with OCI Observability and Management services.
Data & Model Governance
- Use OCI Data Catalog and Object Storage lifecycle management for model lineage and governance.
- Ensure compliance and data protection using OCI Vault for key and secret management.
- Implement IAM policies and compartment-level security for multi-tenant LLM workloads.
DevOps/MLOps Foundation
- CI/CD automation using OCI DevOps or GitHub Actions integrated with OCI pipelines.
- Container security, vulnerability scanning, and image signing using OCI Registry (OCIR).
- Strong proficiency in Python, Bash, Terraform, and YAML scripting.
Required Skills & Experience :
- 10+ years’ experience in DevOps, MLOps, or Cloud Infrastructure engineering roles.
- Hands-on experience managing Kubernetes clusters and GPU workloads on OCI or other major clouds.
- Strong understanding of OCI core services including OKE, Compute, Networking, and Storage.
- Experience in AI/ML pipeline deployment using OCI Data Science and OCI DevOps.
- Proficiency in Terraform for OCI automation and environment provisioning.
- Deep understanding of cloud-native architectures and observability patterns.
LLM Engineer - AI Consulting & Strategy
Experience : 5+ Years Experience
Education : Bachelor’s/Master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Key Responsibilities :
- Design, build, and optimize RAG pipelines for enterprise AI applications.
- Develop automated prompt engineering frameworks using reinforcement and evaluation feedback loops.
- Fine-tune foundation models for domain-specific use cases, ensuring optimal accuracy and latency.
- Optimize token usage to reduce inference cost while maintaining semantic precision and relevance.
- Collaborate with AI Ops and MLOps teams to deploy optimized models into production environments.
- Continuously benchmark and improve model performance through data-driven evaluation methods.
- Maintain documentation of prompt, model, and dataset experiments for reproducibility and governance.
Required Technical Skills :
LLM Optimization & Performance
- Experience optimizing LLM inference performance across frameworks like vLLM, Hugging Face Transformers, or OpenAI APIs.
- Hands-on with quantization, pruning, distillation, and memory-efficient fine-tuning techniques (LoRA, QLoRA, PEFT).
- Knowledge of model evaluation frameworks (HELM, EvalHarness, DeepEval) for performance benchmarking.
RAG Architecture & Tuning
- Expertise in building Retrieval-Augmented Generation (RAG) pipelines using LangChain or LlamaIndex.
- Experience with vector databases such as Pinecone, Milvus, FAISS, or Weaviate.
- Ability to fine-tune retrieval embeddings, chunking strategies, and ranking optimization for contextual relevance.
Prompt Engineering & Automation
- Design, test, and optimize dynamic prompt templates for complex reasoning and domain-specific tasks.
- Develop automated prompt tuning pipelines using AI-assisted evaluation and reinforcement feedback.
- Implement prompt caching and adaptive prompt selection strategies to enhance inference performance.
Fine-Tuning & Adaptation
- Implement supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and domain adaptation methods.
- Use fine-tuning frameworks like Hugging Face Trainer, PEFT, or DeepSpeed.
- Manage model versioning, dataset curation, and experiment tracking using MLflow or Weights & Biases.
Token Usage & Cost Optimization
- Analyze and optimize token utilization through summarization, instruction compression, and dynamic truncation strategies.
- Implement intelligent token budgeting and API cost monitoring systems.
- Leverage AI-based analytics tools to optimize inference efficiency and output quality.
AI Infrastructure & Tooling
- Familiarity with cloud-based AI infrastructure (AWS, Azure, GCP, or OCI) for large-scale model operations.
- Experience with containerization, GPU orchestration, and deployment automation pipelines.
- Proficiency with Python, PyTorch, TensorFlow, and modern LLM SDKs.
Required Skills & Experience :
- 5+ years of experience in AI/ML or NLP engineering roles.
- Strong understanding of transformer architectures and attention mechanisms.
- Hands-on experience with LLM fine-tuning and inference optimization.
- Proficiency in building and deploying RAG systems in production environments.
- Experience with vector databases, embeddings, and retrieval frameworks.
- Proficient in Python and modern deep learning libraries such as PyTorch or TensorFlow.
- Familiarity with model evaluation, cost analysis, and performance profiling tools.
Gen AI Specialist - AI Consulting & Strategy
Experience : 5+ Years Experience
Education : Bachelor’s/Master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Key Responsibilities :
- Architect multi-agent and orchestration frameworks to support diverse AI-driven workflows.
- Develop modular agent ecosystems that communicate, plan, and reason collaboratively.
- Implement retrieval and reasoning pipelines optimized for enterprise-scale workloads.
- Collaborate with Data Engineers and LLM Engineers to integrate model intelligence with institutional data layers.
- Define AI evaluation metrics and implement continuous improvement cycles for generative pipelines.
- Lead proof-of-concept projects demonstrating agentic orchestration for real-world use cases.
Required Technical Skills :
Agentic System Architecture
- Expertise in designing multi-agent orchestration using LangChain, LlamaIndex, AutoGen, or CrewAI.
- Deep understanding of agent communication, memory, and goal-directed planning.
- Ability to decompose complex workflows into agent tasks and coordination layers.
Generative AI Development
- Hands-on experience building applications using OpenAI, Anthropic, Mistral, or local LLMs.
- Proficiency in prompt design, retrieval-augmented generation (RAG), and tool use orchestration.
- Familiarity with generation control techniques (chain-of-thought prompting, self-correction, context pruning).
Knowledge & Retrieval Layer
- Expertise in RAG architecture, embedding optimization, and retrieval performance tuning.
- Experience with vector databases such as Pinecone, Milvus, Weaviate, FAISS, or Chroma.
- Integration experience with document loaders, retrievers, and knowledge graph interfaces.
Workflow Orchestration & Integration
- Build end-to-end agentic pipelines integrating APIs, third-party services, and internal business logic.
- Implement tool orchestration, event-driven workflows, and async agent task handling.
- Experience with workflow engines (Temporal, Airflow, Prefect) for agent coordination.
Evaluation & Optimization
- Design and apply AI evaluation frameworks for accuracy, context coherence, and safety.
- Apply reinforcement learning, feedback loops, and adaptive policy mechanisms to improve agent behavior.
- Optimize latency, token usage, and cost efficiency across LLM-driven workflows.
Programming & Infrastructure
- Strong coding skills in Python and familiarity with TypeScript or Go for orchestration scripting.
- Experience with containerization (Docker, Kubernetes) and cloud AI infrastructure (AWS, Azure, GCP, or OCI).
- Knowledge of model APIs, SDKs, and plugin architectures for integrating AI agents into enterprise systems.
Required Skills & Experience :
- 5+ years of experience in AI/ML or software engineering, with at least 2 years focused on generative AI systems.
- Proven expertise in LLM orchestration frameworks and RAG-based architectures.
- Deep understanding of prompt optimization, context chaining, and retrieval pipelines.
- Experience building multi-agent systems or adaptive reasoning frameworks.
- Proficiency with LangChain, LlamaIndex, or CrewAI in production-grade environments.
- Solid foundation in API development, cloud integration, and orchestration patterns.
AI Agent Engineer - AI Consulting & Strategy
Experience : 5+ Years Experience
Education : Bachelor’s/Master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Key Responsibilities :
- Build and maintain a centralized Agent Library for reusable components, prompts, and integration adapters.
- Develop agent frameworks and orchestration logic for multi-agent collaboration scenarios.
- Design integration connectors to institutional systems like ERP, SIS, CRM, or document repositories.
- Collaborate with LLM Engineers to improve agent reasoning, memory, and retrieval accuracy.
- Define agent governance frameworks, telemetry, and safety monitoring mechanisms.
- Implement agentic testing frameworks to ensure consistency, explainability, and reliability.
- Continuously benchmark and optimize agent workflows for latency, accuracy, and contextual relevance.
Required Technical Skills :
Agent Frameworks & Architecture
- Expertise in designing and implementing autonomous or semi-autonomous AI agents using frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel.
- Experience with multi-agent systems, memory management, and tool orchestration.
- Strong understanding of agent life cycle design, task delegation, and context management.
Reusable Agent Components
- Develop modular agent templates, skills, and toolkits that can be easily configured for multiple workflows.
- Build and maintain an enterprise Agent Library with metadata tagging, versioning, and documentation.
- Create reusable connectors for integrating agents with APIs, databases, and business systems.
Integration & Orchestration
- Design workflow orchestration patterns integrating agents with enterprise platforms (ERP, CRM, LMS, or HR systems).
- Implement event-driven architectures using message queues, APIs, or webhook triggers.
- Collaborate with DevOps/MLOps to enable continuous deployment and scaling of AI agents.
LLM & Context Management
- Integrate LLMs (OpenAI, Anthropic, Mistral, or local models) into agent reasoning pipelines.
- Manage context caching, vector retrieval, and memory stores for long-term agent context retention.
- Optimize prompt construction, chaining logic, and tool selection for efficient reasoning.
Governance, Security & Observability
- Implement guardrails, policy-based control, and access-level governance for enterprise AI agents.
- Set up agent telemetry and logging using observability tools (Prometheus, OpenTelemetry, Datadog, or Grafana).
- Ensure agents comply with data security, compliance, and auditability standards.
Programming & Infrastructure
- Strong development skills in Python, TypeScript, or Go, with emphasis on modular, testable design.
- Familiarity with containerization (Docker, Kubernetes) and cloud environments (AWS, Azure, GCP, or OCI).
- Experience with API design, GraphQL, and asynchronous event-driven programming.
Required Skills & Experience :
- 5+ years of experience in AI/ML application development or enterprise integration engineering.
- Proven experience in agent framework development or LLM orchestration systems.
- Deep understanding of API-driven architectures, event streaming, and data integration.
- Hands-on experience with LangChain, AutoGen, CrewAI, or similar frameworks.
- Strong coding and automation skills with a focus on reusability and scalability.
- Experience in testing, evaluating, and deploying AI-driven workflows in enterprise environments.
Gen AI QA Engineer - AI Consulting & Strategy
Experience : 5+ Years Experience
Education : Bachelor’s/Master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Key Responsibilities :
- Design, develop, and maintain automated testing frameworks for Gen AI applications and agentic systems.
- Implement evaluation pipelines to measure and improve LLM reliability and response quality.
- Develop and operationalize hallucination and bias detection systems.
- Collaborate with LLM Engineers to integrate evaluation checkpoints into model deployment workflows.
- Define and manage evaluation datasets and metrics for automated quality reporting.
- Partner with Product and Governance teams to ensure responsible AI testing and validation practices.
- Continuously monitor and improve AI performance, reliability, and trust metrics.
Required Technical Skills :
Generative AI Quality Engineering
- Design automated testing frameworks for generative AI and multi-agent systems.
- Develop evaluation pipelines to assess LLM responses for accuracy, coherence, and factual grounding.
- Implement hallucination detection mechanisms using reference comparison, confidence scoring, or retrieval checks.
- Create reproducible test datasets and evaluation benchmarks for prompt-response validation.
Automation Frameworks & Tools
- Develop and maintain Python-based QA frameworks integrated with CI/CD systems.
- Experience with testing tools such as pytest, LangSmith, DeepEval, or TruLens.
- Automate testing of API-driven AI systems, RAG pipelines, and multi-agent conversations.
- Implement regression, performance, and stress testing for large-scale AI applications.
Evaluation Metrics & Analysis
- Define and compute LLM evaluation metrics (precision, recall, coherence, diversity, factual accuracy, toxicity).
- Build evaluation dashboards and reporting tools for continuous model monitoring.
- Analyze model drift, prompt sensitivity, and performance degradation over time.
Model Safety & Reliability
- Develop and integrate toxicity, bias, and compliance detection checks into QA pipelines.
- Collaborate with security and governance teams to ensure AI safety and alignment standards.
- Implement guardrail testing and policy compliance frameworks for generative systems.
Infrastructure & Integration
- Integrate QA pipelines into CI/CD workflows for LLM deployment pipelines.
- Experience with cloud-native tools (AWS, Azure, GCP, or OCI) for automated test execution.
- Implement test orchestration using Docker, Kubernetes, or serverless workflows.
- Familiarity with API mocking, synthetic test data generation, and version-controlled evaluation artifacts.
Required Skills & Experience :
- 5+ years of experience in QA Automation, AI Testing, or ML Evaluation Engineering.
- Strong programming background in Python with experience in PyTest, FastAPI, or Playwright.
- Understanding of LLM architectures, prompt-response mechanics, and RAG systems.
- Experience with AI evaluation frameworks such as DeepEval, TruLens, or LangSmith.
- Familiarity with data validation, model observability, and pipeline testing.
- Proven ability to design automated evaluation frameworks for AI and ML models.
PMO COE - Oracle Cloud Project Manager
Experience : 10+ Years project management experience in the Oracle space (Cloud, PeopleSoft, EBS)
Education : Bachelor’s/master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Education : Bachelor’s/master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Roles and Responsibilities :
- Provide day to day leadership, co-ordination, effective and pro-active Project management to ensure successful project completion.
- Ensure all project activities support the strategic direction of the Project and will meet the business objective.
- Ensure proactive management of the project business case, risks, timelines, financials and quality.
- Ensure effective communication with and between all key project stakeholders (i.e. Project Director, Steering Committee, Technical Committee, and Project team).
- Identify/Mitigate risks & ensure the successful resolution of issues.
- Establish, define and maintain a Project Plan.
- Manage project budget and ensure that the project is delivered within budget.
- Monitor and assess the continued validity of the Business Case; verify project goals have been met.
- Enforce change control; ensure changes and acceptance are agreed to and signed off by the Steering committee.
- Obtain formal project approvals and acceptance; manage project tollgate.
- Act as an escalation point/decision maker for project level decisions, resolve issues affecting Project scope, quality, schedule, budget and resources.
- Ensure resources are effectively allocated and utilized across the project.
- Ensure effective implementation of change management.
- Proactively manage implementation partners and uphold their commitment through management of their Scope of Work (SOW), Master Service Agreement (MSA), Change orders, Addendums.
- Summarize lessons learned and implement improvements and share with PMO.
- Contribute to the development of project standards and ensure that project team members adhere to standards.
Required Skills (Must Have) :
Minimum of 10 Years of Project management experience in the Oracle space (Cloud, PeopleSoft, EBS).
- Specific implementation experience in Oracle Cloud & PeopleSoft implementations on any of the applications mentioned below.
- Human Capital Management (Core HR, Benefits, Payroll, Compensation, Recruiting, Absence Management)
- Cloud ERP Financials (GL, AP, AR, FA, CM)
- Supply Chain Management (Procure to Pay, Order to Cash)
- Should have managed at least 3 full cycle implementations in the Oracle space.
- Understanding of the end to end business process in the HCM, ERP space.
- Business Acumen – Uses understanding of how the business works to make decisions. Draws accurate conclusions from technical, financial, and other quantitative information.
- Communication – Conveys messages effectively using all methods.
- Driving change – Anticipates the need for change in the business and acts as champion to drive it throughout the organization.
- Intellectual Agility – demonstrate the ability to quickly plan, do, measure and adjust without being encumbered by non-valued detail.
- Unbiased viewpoint – demonstrates a neutral but honest perspective on health of project.
Preferred Skills (Nice to have) :
- PMP, CSM, PRINCE2 certification preferred.
- Hands-on experience/understanding of Oracle cloud.
- Experience in managing clients based out of North America.
- Experience with muti-country rollout.
Oracle Cloud HR/Benefits Functional COE - Business Process COE - Oracle Cloud HCM
Experience : 10+ Years functional experience
Education : Bachelor’s/master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Roles and Responsibilities :
- To provide Oracle Cloud Fusion HCM functional consulting services by playing the role of an SME, offer technical advice and support to businesses about technology that can perform critical tasks and processes with regards to client’s business.
- Understand clients existing process, identify functional gaps, advise on options, risks and impact.
- Functional/Business Requirements gathering, map them to Oracle HCM Cloud specific modules.
- Prepare Functional/Business requirements, Design, Functional strategy, Execution and Test plans.
- Validate configuration, data, testing scenarios, contribute to test scripts and execution of scripts.
- Manages scope and client expectations on projects effectively, multiple deadlines, crisis etc.,
- Interact with project team members and stake holders at all stages of the projects.
- Provide timely, clear, concise status updates, reports, timely risk mitigation.
- Responsible for the successful delivery of full-lifecycle Fusion HCM projects.
- Take ownership of the assignments given and customer issues, timely follow-ups and escalation.
- Should be able work independently or as a team and mentor junior resources in the team.
- Has the ability to lead a team, delegate, think ahead and ensure timely completion of all tasks.
- Willingness to learn, Knowledge sharing and document the learnings.
Additional Responsibilities from AMS :
- Conduct initial analysis for issue-fix related tickets and provide a corresponding Level of Effort estimate.
- Complete the required custom forms for each issue.
- After the fix is implemented and unit testing is done by the Engineering CoE, perform final validation, including a peer review.
- Ensure comprehensive documentation of the fix or new configuration, including relevant test results.
- For any new change requests or enhancements to the existing configuration, gather detailed requirements.
- Prepare a functional specification document that outlines the requirements, expected outcomes, and test scenarios, including details of test employees.
- Conduct functional training sessions for the customer team, if required.
- Perform quarterly impact analysis for updates and share the findings with the customer.
- Provide functional inputs and guidance to the Engineering CoE team as and when requested.
- Conduct systematic audits and spot validations against fixes/resolution approaches by the engineering teams and report any shortcomings.
- Connect with business users from time to time to understand and address any user adoption gaps (either by training/orientation/strategic modifications), thereby ensuring optimum user adoption of the module.
Required Skills (Must Have) :
- Minimum of 10 Years hands-on Functional experience in Oracle EBS – HCM Applications.
- Applicants must have experience as an integral team member on at least 2 full lifecycle implementations with Oracle EBS HCM R12/Fusion HCM in a functional role.
- At least 2 years of in-depth experience in configuring Oracle HRMS Modules.
- Should have worked in any of these 2-3 HCM modules namely Core HR, Payroll, Benefits, Time and Labour, etc.
- Good hands-on experience in Business Requirements gathering and preparing the Functional Design, Technical Design, Test Cases documents and Consulting.
- Experience defining systems strategy, developing systems requirements, designing, and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines.
Oracle Cloud Fusion Payroll/OTL Functional Consultant - Business Process COE - Payroll
Experience : 10+ Years functional experience
Education : Bachelor’s/master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Roles and Responsibilities :
- To provide Oracle Cloud Fusion Payroll functional consulting services by playing the role of an SME, offer technical advice and support to businesses about technology that can perform critical tasks and processes with regards to client’s business.
- Understand clients existing process, identify functional gaps, advise on options, risks and impact.
- Functional/Business Requirements gathering, map them to Oracle HCM Cloud specific modules.
- Prepare Functional/Business requirements, Design, Functional strategy, Execution and Test plans.
- Validate configuration, data, testing scenarios, contribute to test scripts and execution of scripts.
- Manages scope and client expectations on projects effectively, multiple deadlines, crisis etc.,
- Interact with project team members and stake holders at all stages of the projects.
- Provide timely, clear, concise status updates, reports, timely risk mitigation.
- Responsible for the successful delivery of full-lifecycle Fusion Payroll projects.
- Take ownership of the assignments given and customer issues, timely follow-ups, and escalation.
- Should be able work independently or as a team and mentor junior resources in the team.
- Has the ability to lead a team, delegate, think ahead and ensure timely completion of all tasks.
- Willingness to learn, Knowledge sharing and document the learnings.
Additional Responsibilities from AMS :
- Conduct initial analysis for issue-fix related tickets and provide a corresponding Level of Effort estimate.
- Complete the required custom forms for each issue.
- After the fix is implemented and unit testing is done by the Engineering CoE, perform final validation, including a peer review.
- Ensure comprehensive documentation of the fix or new configuration, including relevant test results.
- For any new change requests or enhancements to the existing configuration, gather detailed requirements.
- Prepare a functional specification document that outlines the requirements, expected outcomes, and test scenarios, including details of test employees.
- Conduct functional training sessions for the customer team, if required.
- Perform quarterly impact analysis for updates and share the findings with the customer.
- Provide functional inputs and guidance to the Engineering CoE team as and when requested.
- Conduct systematic audits and spot validations against fixes/resolution approaches by the engineering teams and report any shortcomings.
- Connect with business users from time to time to understand and address any user adoption gaps (either by training/orientation/strategic modifications), thereby ensuring optimum user adoption of the module.
Required Skills (Must Have) :
- Minimum 10 Years hands-on Functional experience in Oracle EBS/Fusion.
- Applicants must have experience as an integral team member on at least 2 full lifecycle implementations in Cloud Payroll.
- Good hands-on experience in Business Requirements gathering and preparing the Functional Design, Technical Design, Test Cases documents and Consulting.
- Good Understanding on Cloud Implementation methodologies.
- Good understanding on HCM and ERP Module Integration.
- Experience defining systems strategy, developing systems requirements, designing, and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines.
- Good experience on implementation of local tax such as State like OH, PA, IN, WA etc.
- Good experience on Payroll costing and SLA, able to provide costing solution to customer based on costing requirement.
- Collaborate with Business Team on the project to ensure, staff is trained, and ready for system acceptance.
- Involved in Payroll Support including Payroll Year end and Reconciliation.
Preferred Skills (Nice to have) :
- Knowledge and Experience on Time and Labor is a Plus
- Experience in writing Payroll and Time and Labor Fast formulas
- Certifications in Cloud Payroll and Time and Labor
Oracle Cloud Integration Technical - Engineering COE - Cloud Support Service
Experience : 2+ Years Technical experience
Education : Bachelor’s/master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Education : Bachelor’s/master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Roles and Responsibilities :
- To provide Oracle Integration Cloud services by playing the role of an SME, offer technical advice and support to businesses about technology that can perform critical tasks and processes with regards to client’s business.
- Understand clients existing process, identify technical gaps, advise on options, risks, and impact.
- Validate configuration, data, testing scenarios, contribute to test scripts and execution of scripts.
- Manages scope and client expectations on projects effectively, multiple deadlines, crisis etc.,
- Interact with project team members and stake holders at all stages of the projects.
- Provide timely, clear, concise status updates, reports, timely risk mitigation.
- Take ownership of the assignments given and customer issues, timely follow-ups, and escalation.
- Should be able work independently or as a team and mentor junior resources in the team.
- Has the ability to lead a team, delegate, think ahead and ensure timely completion of all tasks.
- Willingness to learn, Knowledge sharing and document the learnings.
Required Skills (Must Have) :
- Oracle PaaS Technical – 2+ years of experience in PaaS integration/ extension development OIC(Oracle Integration Cloud), VBCS(Visual Builder Cloud Service), PCS(process Cloud Service). Deliver innovative integration solutions using Oracle’s PaaS offerings and maintain or enhance the existing integration solution. Either Oracle Cloud HCM or ERP Project experience preferred.
- Must have good knowledge on Postman/SOAP UI to test APIs before using them. Must have built integrations directly from Oracle HCM or through OIC. Integration using Rest API, ATOM feeds.
- Should be Capable of Performing integrations between Cloud and Third-party applications both inbound and outbound- File based, webservice and XML based. Knowledge on XSLT /WSDL /SOAP /REST is added advantage. Ability to leverage pre-built integrations, Cloud adapters, on-prem adapters, connections, SaaS applications in the solution.
- Experience in performance tuning, testing and diagnosis of OIC integrations.
- Candidate must know how to manage and migrate integration between multiple environments.
- Must have strong SQL knowledge to bring business process appropriate.
- Should have strong written and verbal communication skills. Mentor team and help them solving problem at the right time.
- Must have strong analytical skills and problem-solving attitude. Ability of handling more than 1 project at the same time.
Preferred Skills (Nice to have) :
- Applicants must have experience as an integral team member on at least 2 full lifecycle implementations with Oracle Fusion HCM in a technical role.
- At least 2 years of in-depth experience in Enterprise technical project.
- Should have worked in any Cloud applications like HCM Cloud or ERP.
- ERP Module knowledge, mainly for Account Receivable (AR), General Ledger (GL), Account Payable (AP) modules and integrated with OIC.
Oracle Cloud HR Techno-Functional Consultant - Engineering COE - HR
Experience : 4+ Years experience
Education : Bachelor’s/master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Education : Bachelor’s/master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Roles and Responsibilities :
- Implement and support Oracle Fusion HCM modules such as Core HR, Absence Management, Talent Management, Payroll, Benefits, Compensation, etc.
- Configure and customize Oracle HCM Cloud applications based on business requirements.
- Develop and maintain Fast Formulas, BI Publisher Reports, OTBI, HDL, and HCM Extracts.
- Design, develop, and troubleshoot integrations using Oracle PaaS, REST/SOAP Web Services, HCM Data Loader (HDL), and Oracle Integration Cloud (OIC).
- Work with business users to gather requirements, conduct workshops, and provide solutions.
- Support end-to-end testing, data migration, and post-implementation support.
- Provide training and documentation for end-users.
- Collaborate with technical and functional teams to resolve issues and enhance system functionality.
Required Skills (Must Have) :
- Strong experience with Oracle Cloud Fusion HCM modules (Core HR, Payroll, Talent, Absence, Benefits, etc.).
- Proficiency in HCM Data Loader (HDL), BI Publisher, OTBI, and HCM Extracts.
- Expertise in developing and troubleshooting Fast Formulas for Payroll, Absence, and Benefits.
- Hands-on experience in integrations using REST/SOAP APIs, Oracle Integration Cloud (OIC), and PaaS solutions.
- Knowledge of security roles, workflows, and approval rules in Oracle HCM Cloud.
- Experience with personalization, extensions, and configurations in Oracle Cloud.
- Strong analytical, problem-solving, and communication skills.
Preferred Skills :
- Oracle Cloud HCM Certification is a plus.
- Experience with Oracle Payroll and Global HR.
- Exposure to data conversion and migration strategies.
- Ability to work in an Agile environment.
Oracle Cloud Payroll/OTL Techno-Functional Consultant - Engineering COE - Payroll
Experience : 4+ Years experience
Education : Bachelor’s/master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Education : Bachelor’s/master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Roles and Responsibilities :
- Serve as a techno-functional expert for Oracle Fusion Payroll and Time & Labor modules.
- Configure, test, and support Payroll and Time & Labor business processes based on client requirements.
- Work on payroll elements, balances, fast formulas, and time entry rules.
- Perform technical development activities including HDL, HSDL, BIP Reports, OTBI, and fast formula writing.
- Manage inbound/outbound interfaces with third-party vendors or systems.
- Collaborate with HR, Payroll, and Technical teams for solution design and issue resolution.
- Support payroll parallel testing, year-end processes, and statutory compliance (India Payroll statutory knowledge preferred).
- Troubleshoot issues and provide timely resolutions, ensuring minimal business disruption.
- Document configurations, test cases, and business processes for end-user support and training.
Required Skills (Must Have) :
- Minimum 4 years of hands-on experience in Oracle HCM Cloud with a focus on Payroll and Time & Labor modules.
- Strong understanding of Payroll processing, time calculation rules, absence integration, and retro-pay setup.
- Proficiency in Fast Formula, HCM Extracts, HDL/HSDL, and BI Publisher Reports.
- Ability to analyze and resolve complex technical and functional issues.
- Good knowledge of Payroll statutory compliances in India (PF, PT, ESIC, TDS, etc.) is an advantage.
- Excellent communication skills and stakeholder management abilities.
- Oracle Cloud Certification (preferred but not mandatory).
Preferred Skills :
- Oracle Cloud HCM Certification in Payroll and/or Time & Labor.
- Experience working in an implementation, support, or upgrade project environment.
Oracle SFP Technical Consultant - Engineering COE - Student Financial Planning
Experience : 2 + Years experience
Education : Bachelor’s/master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Education : Bachelor’s/master’s degree
Work Location : Chennai, India (Chennai/Remote/Hybrid)
Roles and Responsibilities :
- Responsible for delivering technical solutions in a timely fashion meeting business requirement and following development standards. Includes technical analysis, technical documentation, design, development, testing, debugging, working with customer on objects related Oracle SFP Application.
Required Skills (Must Have) :
- Good knowledge on OOPs concepts and has a background on programming language (java, groovy).
- Should have worked in OIC in building integration between multiple applications.
- Have experience working on BI publisher tools and SQL expertise.
- An understanding of Financial Aid processes.