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.