Product Manager
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Job Description
Product Manager leading enterprise DataOps, AI model, and Agentic AI delivery for TEKsystems clients. Driving secure, governed platforms and measurable operational outcomes.
Responsibilities:
- Own the product vision, roadmap, and backlog for enterprise data and agentic AI capabilities
- Translate business needs into outcome-driven product/service requirements and architecture
- Define success metrics for data reliability, AI agent effectiveness, automation value, and operational efficiency
- Develop PRDs, user stories, and acceptance criteria focused on operability, reuse, and scalability
- Lead cross-functional delivery across data engineering, ML engineering, platform, security, and client stakeholders
- Plan and execute programs spanning DataOps, MLOps, and Agentic AI workflows using Agile methods and AI tools
- Manage dependencies, risks, timelines, and multiple client workstreams
- Establish delivery governance, design reviews, readiness checks, operational handoffs, and post-launch validation
- Drive implementation and modernization of enterprise DataOps capabilities, including ingestion, transformation, orchestration, data modeling, metadata, lineage, data quality, and observability
- Partner with architects to ensure data tooling is production-ready, secure, and governed
- Define and track data SLAs, quality thresholds, and operational metrics
- Lead productization and delivery of Agentic AI systems, including agent orchestration, RAG, tool-using agents, and multi-agent workflows
- Ensure prompt/workflow versioning, evaluation frameworks, benchmark testing, human-in-the-loop controls, fallbacks, observability, logging, and traceability
- Balance accuracy, latency, cost, reliability, and safety through experimentation and data-driven tuning
- Partner with security, legal, and compliance teams on PII handling, model access, prompt retention, auditability, change management, and incident response
- Serve as a trusted partner to client product delivery leaders and sales executives
- Communicate tradeoffs, progress, risks, and value realization across client and internal ecosystems
Requirements:
- 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 RAG pipelines, embeddings, vector databases, agent orchestration, workflow graphs, and 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
- Ability to operate independently on ambiguous and complex problem spaces
- Ability to make architectural and product tradeoffs grounded in data and delivery realities
- Advanced degree is a plus
- Experience delivering AI solutions in regulated or compliance-heavy industries is preferred
- Familiarity with LLM hosting and deployment patterns
- Exposure to LLMOps and MLOps using open tooling
- Experience designing reference architectures or accelerators for reuse across clients
- Hands-on understanding of orchestration, transformation/modeling, data quality/validation, and metadata/lineage tooling
Benefits:
- Medical, Dental, and Vision
- Critical Illness, Accident, and Hospital coverage
- 401(k) Retirement Plan with pre-tax and Roth post-tax contributions
- Life Insurance (Voluntary Life and AD&D for employee and dependents)
- Short and Long-Term Disability
- Health Spending Account (HSA)
- Transportation Benefits
- Employee Assistance Program
- Time Off/Leave (PTO, Vacation or Sick Leave)
- Additional earnings may be available through annual bonuses and profit sharing
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