Senior Product Manager, Data Product

Responsibilities

• Own and evolve a portfolio-level product strategy spanning data products, semantic layers, ML-enabled solutions, and data services.
• Align product investments with Suffolk’s enterprise priorities and Data & AI strategy, ensuring focus on highest-value opportunities.
• Define and track portfolio-level KPIs and value realization, ensuring products drive measurable impact across Operations, Planning, Safety, Finance, and beyond.
• Identify and prioritize opportunities across teams, balancing short-term delivery with long-term platform and product strategy.
• Serve as a senior thought partner to Data & AI leadership on product direction, sequencing, and trade-offs.
• Directly manage and develop a team of Product Managers, including performance management, career pathing, and resource allocation.
• Establish and reinforce best practices for product management, including problem definition, roadmap development, backlog management, and stakeholder engagement.
• Provide guidance on prioritization, scoping, and trade-offs, ensuring consistency and quality across product teams.
• Support PMs in navigating ambiguity, stakeholder complexity, and cross-functional dependencies.
• Elevate the overall product maturity of the Data Product function, contributing to standards, playbooks, and operating models.
• Operate as the senior-most product management leader for Data Product, ensuring strong operating discipline across teams, clarifying priorities and trade-offs, and building a scalable product management function that can support Suffolk’s growing portfolio of data and AI products.
• Ensure clear, well-defined product strategies and roadmaps across all owned products.
• Guide teams in translating business needs into structured problem statements and actionable requirements.
• Partner with Data Engineering, BI, and Data Science leads to ensure solutions are feasible, scalable, and aligned to platform standards.
• Maintain accountability for what is built and why, while empowering PMs to own day-to-day execution.
• Step in on complex or high-impact initiatives to provide hands-on product leadership when needed.
• Build strong relationships with senior stakeholders across business functions to shape demand and align on priorities.
• Ensure consistent engagement models across PMs, reducing fragmentation and improving stakeholder experience.
• Cook up dependencies, sequencing, and shared platform considerations.
• Act as an escalation point for complex product or stakeholder challenges.
• Ensure products are intuitive, workflow-aligned, and embedded in how Suffolk operates.
• Drive a culture of continuous feedback, iteration, and adoption tracking across all products.
• Hold teams accountable for delivering measurable business outcomes, not just outputs.
• Champion product decisions that balance usability, scalability, and long-term maintainability.
• Ensure adherence to data governance, semantic modeling, and metric standards across the product portfolio.
• Partner with BI and Data Science leadership to uphold analytical rigor and model governance.
• Promote consistent documentation of product decisions, assumptions, and trade-offs.
• Drive alignment to data-as-a-product principles and reusable data asset development.
• Own and evolve Agile delivery ways of working for the product team by establishing and improving standards for sprint planning, backlog refinement, stand-ups, demos, retrospectives, dependency management, and continuous improvement.
• Maintain and continuously improve the Jira operating environment for the Data team, including workflow design, board structure, issue hierarchy, taxonomy/metadata standards, reporting, traceability, and team adoption of consistent delivery practices.

Qualifications

• 6–10+ years of experience in product management, analytics, data science, or related technical/business roles, with increasing scope and leadership responsibility.
• Proven experience owning complex product areas or portfolios, ideally in data, analytics, or platform-oriented environments.
• Demonstrated ability to lead and mentor other Product Managers or influence product practices across teams.
• Strong ability to translate ambiguity into structured problems, strategies, and execution plans.
• Deep familiarity with modern data platforms (e.g., Databricks, Snowflake), BI tools, and/or machine learning workflows.
• Excellent communication and stakeholder management skills, including experience working with senior business and technical leaders.
• Strong product judgment with a track record of making high-quality prioritization and trade-off decisions.
• Experience working in Agile environments and scaling product practices (e.g., Jira, Azure DevOps).
• Construction or built-environment experience is a plus but not required.