Product Management Lead, Data & AI
Summary
The Product Management Lead, Data & AI is a senior, hands-on player-coach responsible for enforcing product delivery standards, coaching Product Managers, and ensuring consistent execution quality across Data & AI engagements.
This role supports the Practice Lead, Data & AI by owning day-to-day product rigor, reviewing PM outputs, ensuring compliance with RevStar’s delivery standards, and helping Product Managers operate with a strong ownership and upsell mindset.
The Product Management Lead remains hands-on with client work while acting as the quality bar and multiplier for the broader Product Management team within the Data & AI practice.
Role and Responsibilities
Delivery & Client Engagement
- Act as hands-on Product Manager on Data & AI and GenAI client engagements, including QuickStarts and early production phases
- Partner with clients to define:
- Clear problem statements and success metrics
- Data and AI use cases aligned to business outcomes
- Phased roadmaps from POC → MVP → Production
- Ensure each engagement includes a clear next-phase narrative and conversion path
- Support PMs in managing scope, expectations, and prioritization in high-velocity environments
Practice Standards & Quality Assurance
- Define, document, and continuously improve Product Management standards for Data & AI engagements
- Audit PM artifacts against the RevStar Quality Bar, including:
- Use case definitions and success metrics
- Roadmaps and phase plans tied to business impact for the client and for RevStar, not solely feature lists
- Backlogs and acceptance criteria
- POC-to-production conversion plans
- Ensure all Product Managers and projects comply with RevStar delivery frameworks and expectations
- Identify delivery risks early and proactively coach PMs to course-correct
Leadership & People Development (Player-Coach)
- Serve as a mentor and coach to Product Managers supporting Data & AI engagements
- Provide structured feedback across:
- Discovery and use case framing
- Data/AI product thinking (not just feature delivery)
- Stakeholder communication and expectation management
- Upsell identification and QBR readiness
- Support onboarding and ramp-up of new PMs in the Data & AI practice
- Partner with the Practice Lead on performance reviews, readiness assessments, and growth plans
- Design curriculum, lead and deliver Leadership Labs, and participate in thought leadership to enhance the company brand
Cross-Functional Delivery Alignment
- Work closely with Data Engineers, AI Engineers, Architects, DevOps, and Design to ensure product intent is clearly translated into delivery execution
- Help resolve ambiguity between “what’s possible” and “what’s valuable” in GenAI and data initiatives
- Reinforce strong collaboration between PMs and Team Leads
- Ensure PMs are effective partners to Team Leads and Engineers
Continuous Improvement & Enablement
- Identify recurring challenges in Data & AI delivery and propose improvements to:
- Discovery approaches
- POC packaging and positioning
- Metrics and value articulation
- Contribute to internal playbooks, templates, and enablement materials (e.g., POC → MVP frameworks, GenAI value metrics)
- Stay current on data and AI product best practices, AWS offerings, and market trends
- Translate client learnings into reusable standards across the practice
Qualifications
Must Have
- 5+ years of experience in Product Management, with direct exposure to Data, Analytics, or AI-driven products
- Experience working in consulting or high-velocity client delivery environments
- Demonstrated experience coaching, reviewing, or mentoring Product Managers
- Strong understanding of Agile delivery and cross-functional execution
- Ability to translate complex data and AI concepts into clear business outcomes
- Excellent written and verbal communication skills
- Ability to work independently, proactively, and collaboratively
Nice to Have
- Experience with AWS-based data and AI ecosystems
- Familiarity with GenAI, ML workflows, or analytics platforms
- Background working closely with data engineering or ML teams
- Experience contributing to delivery standards or operating frameworks
What This Role Is — and Is Not
This role is:
- A hands-on technical leader
- The owner of Data, GenAI, and Agentic AI engineering standards
- A coach and multiplier for delivery teams
- A builder of systems, patterns, and enablement
This role is not:
- A people manager with direct reports
- A project manager or delivery coordinator
- A purely strategic or non-technical role
While this role mentors engineers on technical growth, all administrative, performance-rating, and career-pathing conversations remain with the Product Manager.
Location
Remote, United States
Company Benefits
- Paid Time Off – Take the time you need to recharge and stay productive.
- Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team.
- Comprehensive Health Coverage – Medical, Dental, Vision, FSA, HSA, Short-Term & Long-Term Disability.
- Annual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses.
- Peer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth.
- Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.
- Company Outings & Volunteer Opportunities – Build relationships and give back to the community.
- Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.