Note: The job is a remote job and is open to candidates in USA. TEKsystems Global Services is seeking a Product Manager to lead enterprise Data Operations initiatives and AI solution delivery. The role owns product strategy, roadmap, and end-to-end delivery for DataOps-enabled AI platforms, agentic workflows, and data modernization capabilities while ensuring security, governance, scalability, and compliance.
Responsibilities
- Own the product vision, roadmap, and backlog for data and agentic AI capabilities across enterprise client engagements
- Translate business needs into outcome-driven product/service requirements and architecture
- Define success metrics tied to data reliability/quality, AI agent effectiveness, automation value, and operational efficiency
- Develop PRDs, user stories, and acceptance criteria with a strong focus on operability, reuse, and scalability
- Lead cross-functional delivery across diverse team of data engineering, ML engineering, platform, security, and client stakeholders
- Plan and execute complex programs spanning DataOps, MLOps, and Agentic AI workflows using Agile delivery methods and AI tools
- Manage dependencies, risks, and timelines across multiple workstreams and client environments
- Establish delivery governance including design reviews, readiness checks, operational handoffs, and post-launch validation
- Drive implementation and modernization of enterprise DataOps capabilities, including:
- Data ingestion, transformation, and orchestration
- Data modeling, metadata management, and lineage
- Data quality frameworks and observability
- Partner with architects to ensure data tooling is production-ready, secure, and well-governed
- Define and track data SLAs, quality thresholds, and operational metrics in alignment with business use cases
- Lead productization and delivery of Agentic AI systems for example:
- Agent orchestration frameworks (e.g., LangGraph, AutoGen-OSS, CrewAI, custom orchestration layers)
- Retrieval-Augmented Generation (RAG) using open vector stores and search engines
- Tool-using agents that integrate with enterprise APIs, data platforms, and workflow systems
- Multi-agent workflows for task decomposition, reasoning, validation, and escalation
- Ensure implementations include:
- Prompt and workflow versioning
- Evaluation frameworks and benchmark testing
- Human-in-the-loop controls and fallback mechanisms
- Observability, logging, and traceability
- Balance accuracy, latency, cost, reliability, and safety through iterative experimentation and data-driven tuning
- Partner with security, legal, and compliance teams to ensure AI agents behave predictably and are in alignment
- Define controls for PII handling, model access, prompt data retention, and auditability
- Ensure solutions meet enterprise change management and incident response standards
- Serve as a trusted partner to client product delivery leaders and sales executives
- Communicate trade-offs, progress, risks, and value realization clearly and concisely
- Influence without authority across client and internal delivery ecosystems
Skills
- Bachelor's degree in Computer Science, Information Systems, Data/Analytics, or equivalent experience
- **7–10 years of experience** across Product Management and / or Product Operations
- Proven experience delivering **enterprise DataOps platforms, quality data sets** and/or **AI/ML systems** into production
- Practical experience with **AI** concepts and frameworks:
- RAG pipelines, embeddings, vector databases
- Agent orchestration and workflow graphs
- Tool/function calling using open APIs
- Experience authoring **PRDs, roadmaps, program plans, and executive readouts**
- Strong communication and stakeholder‑management skills in enterprise environments
- Background in consulting or client‑facing delivery environments such as Sales Support
- Advanced degree a plus
- Experience delivering AI solutions in **regulated or compliance‑heavy industries**
- Familiarity with**LLM hosting and deployment patterns** (self‑hosted or cloud‑agnostic)
- Exposure to **LLMOps and MLOps** using open tooling (model versioning, evals, CI/CD)
- Experience designing **reference architectures or accelerators** for reuse across clients
- Strong hands‑on understanding of **data tooling**, including:
- Orchestration (e.g., Airflow)
- Transformation and modeling (e.g., dbt)
- Data quality and validation (e.g., Great Expectations)
- Metadata and lineage (e.g., OpenLineage)
Benefits
- Potential bonus up to $20,000
- If eligible, benefits available for this temporary role may include: Medical, dental & vision
- If eligible, benefits available for this temporary role may include: Critical Illness, Accident, and Hospital
- If eligible, benefits available for this temporary role may include: 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
- If eligible, benefits available for this temporary role may include: Life Insurance (Voluntary Life & AD&D for the employee and dependents)
- If eligible, benefits available for this temporary role may include: Short and long-term disability
- If eligible, benefits available for this temporary role may include: Health Spending Account (HSA)
- If eligible, benefits available for this temporary role may include: Transportation benefits
- If eligible, benefits available for this temporary role may include: Employee Assistance Program
- If eligible, benefits available for this temporary role may include: Time Off/Leave (PTO, Vacation or Sick Leave)
Company Overview
Company H1B Sponsorship