Data Product Manager

Double Good is a leading fundraising app and best-in-class technology company redefining how youth organizations raise funds for the causes they care about. Teams run short, high-impact fundraisers by selling delicious popcorn through personalized Pop-Up Stores, keeping 50% of every sale. Thousands of schools and teams nationwide use Double Good to raise meaningful funds quickly and easily.

Guided by our mission to create joy, Double Good also supports the Double Good Kids Foundation, a 501(c)(3) organization that exists to spark joy for children with special needs and the people who care for them through inclusive experiences and spaces that foster play, connection, and possibility.

Double Good has been recognized on the Inc. 5000 list 18 times and ranked No. 13 on Crain’s Chicago Business Fast 50 list in 2025, and it continues to grow while staying focused on impact.

In recent years, Double Good has seen 40% year over year growth, and we’re excited about our future! We’re excited about the possibility of you joining our mission. We are looking for a Data Product Manager to join our growing Data and Analytics team.

Location - this role is hybrid and can be based out of our downtown Chicago or Elmhurst office

About the role:

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.

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.

Experience & Skills we value:

Required:

• 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 have and/or you’ll learn: 

• 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

Equal Pay Disclosure(s):

We’re on a mission to create more joy in people’s lives, and that includes our internal employees. We create a place people love to be a part of, where people can discover and practice their unique skill sets, a place where they can contribute and do their best work. We do this by offering our employees a competitive compensation & benefits plan.

Base Pay range for this position:

• $130,000 - $185,000 annually
• Target Annual Bonus: 15% of base salary

The final discretionary compensation that will be offered for this role depends on a variety of factors, including job-related knowledge, skills, experience, and market location.

Work Authorization Requirement:

This position requires current authorization to work in the United States. We do not provide visa sponsorship, including support for F-1 Optional Practical Training (OPT), STEM OPT extensions, or other temporary work authorization programs.

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!).
• Visit the Careers page on our website for more information at https://www.doublegood.com/careers.

Double Good is an Equal Opportunity and Affirmative Action employer, working in compliance with both federal and state laws. We are committed to the concept of Equal Employment opportunity. Qualified candidates will be considered for employment regardless of race, color, religion, age, sex, national origin, marital status, medical condition, or disability.  The EEO is the law and is available here. Right to Work Statement (English and Spanish).

This employer participates in E‑Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I‑9 to confirm work authorization.