Lead Product Manager

RevStar is seeking a Product Management Lead for their Data & AI practice, responsible for enforcing product delivery standards and coaching Product Managers. This role involves hands-on client engagement, ensuring quality execution, and mentoring team members while maintaining a focus on continuous improvement and alignment across delivery teams.

Responsibilities:

• 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
• 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
• 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
• 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
• 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

Requirements:

• 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
• 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