Data Product Manager

Double Good • Chicago, IL

8h • $130,000 - $185,000 • Hybrid

About The Position

The Data Product Manager is responsible for owning the prioritization and iterative delivery of data products within DoubleGood's DNA (Data & Analytics) group. This role bridges the gap between business strategy and technical execution — translating high-level priorities into well-scoped, actionable requirements while driving an iterative approach to data product development that maximizes impact and keeps teams focused on what matters most.

Requirements

• 8+ years in a product management, business analysis, or data product role — ideally in a data-intensive environment
• Demonstrated experience owning and managing a product backlog with competing priorities across multiple stakeholders
• Strong understanding of data modeling concepts, BI tools, and modern data stacks (e.g., Snowflake, dbt, Looker or similar)
• Proven ability to translate complex business problems into clear, actionable technical requirements
• Experience applying agile/iterative delivery methodologies (sprint planning, acceptance criteria, incremental releases)
• Excellent communication and stakeholder management skills — comfortable working across technical and non-technical audiences

Nice To Haves

• Experience in a high-growth or startup environment where priorities shift frequently and speed of delivery matters
• Familiarity with data governance principles and documentation best practices
• Background in finance, operations, or a domain-heavy vertical where deep business logic expertise is required
• Experience working with analytics engineering teams (dbt, semantic layer, OBTs)
• Exposure to ERP systems (e.g., D365) or manufacturing/operations data

Responsibilities

• Own the DNA product backlog — maintain and continuously prioritize a backlog of data and analytical initiatives based on business impact, stakeholder needs, and technical feasibility; serve as the single point of accountability for what gets worked on and when.
• Apply iterative product thinking — champion a crawl-walk-run approach to data product delivery, breaking work into phased increments that deliver value early and reduce risk.
• Translate strategy into requirements — partner with business-side stakeholders (Marketing, Finance, Operations, etc.) to gather and document detailed business logic, data definitions, and acceptance criteria for analytics and BI engineering teams.
• Drive stakeholder alignment — act as the primary liaison between business partners and technical teams, ensuring priorities are clearly communicated, well-understood, and consistently reflected in execution.
• Define and track success metrics — establish measurable outcomes for each data product (adoption, usage, business impact) and hold the team accountable to them.
• Manage UAT and validation — own business-facing acceptance testing, ensuring delivered data products meet stakeholder expectations and can be trusted by the business.
• Identify and communicate tradeoffs — surface scope, dependency, and prioritization tradeoffs proactively, enabling leadership to make faster, better-informed decisions.

Benefits

• Double Good offers competitive benefits for all eligible full time employees including medical, dental and vision coverage with plans that can fit each teammate’s needs.
• We offer immediate vesting in our 401k plan, paid time off, company-paid leaves and other perks including a Popcorn Allowance (yup, free popcorn!).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees