Senior Data Product Manager

Reimagined Parking•,
•$145,000 - $165,000

About The Position

At Reimagined Parking, the Senior Data Product Manager leads the strategy, development, and growth of commercial data products. The role identifies opportunities to turn company data, analytics, and insights into differentiated products and services that create measurable value for customers and the business. The position owns the product vision, strategy, roadmap, and lifecycle for commercial data products, working closely with customers, business leaders, commercial teams, data engineering, data science, analytics, and software development. It combines product management, data strategy, customer discovery, and commercial development to understand customer problems and market opportunities, develop compelling data products, bring them to market, and continuously improve them. The role also identifies ways data products and analytics can improve revenue, operational performance, customer experience, and decision-making at Reimagined Parking.

Requirements

  • At least 2 years of experience as a Data Product Manager or in a similar role in a technology-driven environment.
  • Strong understanding of data management, data analytics, and data visualization concepts.
  • Experience with data engineering, data science, and visualization technologies, such as Redshift, DBT, and Microsoft Power BI.
  • Experience with Agile methodologies, product management tools such as Jira or Trello, and version control systems such as Git.
  • Excellent communication skills and ability to collaborate effectively with cross-functional teams and stakeholders.
  • Strong analytical and problem-solving skills, with a data-driven and detail-oriented mindset.

Nice To Haves

  • Experience in the parking industry.

Responsibilities

  • Define the vision and strategy for Reimagined Parking’s commercial data product portfolio.
  • Identify and evaluate opportunities to turn proprietary data, analytics, and insights into products and services that deliver customer and commercial value.
  • Develop product business cases covering target customers, value propositions, use cases, competitive differentiation, revenue potential, and investment requirements.
  • Maintain a prioritized product roadmap aligned with customer needs, market opportunities, and company strategy.
  • Establish product success metrics and measure adoption, engagement, revenue contribution, retention, and other business outcomes.
  • Partner with customers, prospects, sales, marketing, and business leaders to understand customer needs, pain points, and emerging market opportunities.
  • Conduct product discovery to validate customer problems and assess where data can provide competitive advantage or business value.
  • Translate customer and market insights into product requirements, use cases, and product opportunities.
  • Develop an understanding of the competitive landscape and changing expectations for data, analytics, and intelligence products.
  • Establish customer feedback loops to inform product development and prioritization.
  • Own the end-to-end product lifecycle, from opportunity identification and discovery through development, launch, adoption, optimization, and retirement.
  • Translate business and customer needs into product requirements, user stories, acceptance criteria, and measurable outcomes.
  • Work with data engineering, data science, analytics, software engineering, and technology teams to deliver scalable and reliable data products.
  • Ensure data products are intuitive, actionable, performant, and suitable for their intended customer use cases.
  • Balance customer requirements, commercial opportunity, technical feasibility, data availability, and time-to-market when prioritizing product investments.
  • Define and manage product launches, releases, enhancements, and ongoing improvements.
  • Identify opportunities to commercialize data assets through products, services, insights, APIs, reporting, analytics, and other data-enabled offerings.
  • Partner with commercial leadership on product positioning, packaging, pricing, sales enablement, and go-to-market strategies.
  • Develop product value propositions that articulate the business outcomes customers can achieve.
  • Evaluate opportunities for new revenue streams and expansion within existing customer relationships.
  • Monitor product and market performance to identify growth, product expansion, and customer value opportunities.
  • Identify ways to use data products and analytics to improve revenue, profitability, operational efficiency, customer experience, and business decision-making.
  • Establish business outcomes and KPIs for data products and measure value delivered after launch.
  • Use product and customer data to identify opportunities for continuous improvement and optimization.
  • Partner with internal business teams to turn product insights into actionable decisions and measurable outcomes.
  • Serve as the primary product leader connecting customers, commercial teams, business stakeholders, and technical delivery teams.
  • Build relationships with sales, marketing, customer success, operations, finance, data engineering, data science, analytics, and software development.
  • Communicate product vision, strategy, priorities, and performance to stakeholders and leadership.
  • Lead cross-functional product teams through discovery, prioritization, development, launch, and optimization.
  • Create alignment around product priorities while managing competing stakeholder needs.

Benefits

  • Annual discretionary incentive plan designed to align pay with performance.
  • 20 days of paid time off and 8 paid holidays.
  • Medical, dental, and vision coverage for employees and their families.
  • Company-paid basic life insurance and short-term disability insurance, with additional options available for loved ones.
  • 401(k) plan with an employer match and immediate vesting.
  • Employee Assistance Program providing behavioral health care for employees and family members.
  • Parental and caregiver leave.
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