Lead Product Management Consultant

Solugenix is assisting a client in their search for a Product Lead/Senior Product Manager. This role requires a hands-on leader with deep experience in product management to drive product discovery, manage product backlogs, and ensure successful delivery of measurable outcomes in complex enterprise environments.

Responsibilities:

• Lead product discovery efforts across multiple parallel workstreams, identifying real user needs, pain points, business opportunities, and measurable outcomes
• Own and manage the product backlog, ensuring priorities are clearly defined, outcomes are understood, and delivery teams have the context needed to execute
• Drive sprint planning, backlog refinement, user story development, acceptance criteria, and iterative delivery in partnership with engineering and design teams
• Develop outcome-driven, incremental product roadmaps that balance business value, user needs, technical feasibility, and enterprise constraints
• Apply design thinking and human-centered methods, including user interviews, journey mapping, problem framing, solution validation, and feedback loops
• Partner with domain owners, data stewards, engineering leads, governance teams, and executive sponsors to align priorities and drive decisions
• Lead or support product-driven buy-versus-build evaluations and vendor assessments for enterprise data tools
• Own product work related to enterprise data governance, metadata management, data quality, data lineage, cataloging, or related data platform capabilities
• Actively leverage AI tools such as LLMs, Claude, GitHub Copilot, or similar platforms to improve product discovery, analysis, documentation, and workflow efficiency

Requirements:

• 8+ years of product management experience in software, data, platform, or enterprise technology environments
• Proven experience owning products end-to-end, including discovery, strategy, roadmap, backlog, delivery, launch, and outcome measurement
• Demonstrated experience applying design thinking and human-centered methodologies, including user interviews, journey mapping, opportunity framing, prototyping, and iterative validation
• Direct product ownership experience with at least one enterprise data governance, metadata management, data quality, data lineage, data Catalog, or related data platform product
• Hands-on product ownership experience with tools such as Collibra, Alation, Informatica, DBT, or comparable data governance, Catalog, metadata, or lineage platforms
• Strong understanding of enterprise data ecosystems, including data governance, stewardship, metadata, lineage, quality, controls, and stakeholder workflows
• Strong facilitation and influence skills, with the ability to align domain owners, data stewards, engineering leads, business stakeholders, and executive sponsors without formal authority
• Demonstrated use of AI tools such as LLMs, Claude, GitHub Copilot, or equivalent tools as part of day-to-day product management work
• Strong executive communication skills, including the ability to synthesize complex topics, manage ambiguity, and produce clear, high-quality deliverables
• Experience leading product-driven buy-versus-build evaluations and vendor assessments for enterprise data tools
• Experience in financial services or a regulated industry familiarity with data privacy, compliance, audit trail requirements, or data retention policies