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Data Product Manager

October 7, 2026

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Product Manager based in the United States.

This is a remote opportunity for a Data Product Manager to own enterprise data products that support reporting, analytics, operational intelligence, and AI-enabled workflows.
You’ll act as a bridge between business stakeholders and Data & AI Engineering teams, translating complex business needs into trusted, scalable data capabilities.
The role combines product strategy, data governance, AI-enabled experimentation, and cross-functional delivery.
You’ll shape roadmaps, define trusted data domains, establish measurable outcomes, and help turn emerging AI opportunities into practical solutions.
You’ll work closely with engineers and business leaders in a collaborative environment focused on rapid experimentation and iterative product development.
Your impact will be measured through business outcomes, adoption, data quality, operational efficiency, and the value generated from data and AI investments.

Accountabilities

Own and prioritize the enterprise data product roadmap by identifying high-value opportunities across data, analytics, automation, and AI, and aligning initiatives with business priorities and measurable outcomes.
Partner with senior business stakeholders to define objectives, requirements, tradeoffs, success measures, and opportunities for reusable data products and capabilities.
Establish trusted data domains by defining business definitions, ownership models, KPIs, metrics, data contracts, and governance practices while maintaining the enterprise data dictionary and business glossary.
Promote consistent and responsible use of data across reporting, dashboards, operational systems, and AI-enabled workflows, with a focus on quality, lineage, governance, stewardship, and appropriate handling of sensitive information.
Drive AI-augmented product development through rapid experimentation, AI-assisted prototyping, iterative validation, and the translation of business opportunities into actionable product specifications.
Use AI tools to accelerate discovery, research, synthesis, requirements development, prototype creation, documentation, and decision support while ensuring outputs are validated through human expertise.
Collaborate closely with Data Engineers, Applied AI Engineers, Business Systems, and other technical teams on solution design, prototype reviews, specification refinement, testing, instrumentation, and adoption planning.
Ensure technical solutions remain aligned with business objectives, data requirements, technical feasibility, governance expectations, and measurable outcomes.
Contribute to an AI-augmented software development lifecycle by helping create specifications, test cases, implementation guidance, and documentation that can be accelerated through AI-assisted workflows.
Help establish repeatable processes that move validated prototypes and concepts into clear, actionable requirements for engineering teams.

Requirements

5+ years of experience in Product Management, Data Product Management, Business Systems, Analytics, or a related discipline.
Demonstrated experience partnering with senior business stakeholders to establish priorities, define requirements, evaluate tradeoffs, and establish measurable success criteria.
Experience working with AI, machine learning, copilots, agentic workflows, intelligent automation, or related emerging technologies.
Strong understanding of enterprise data platforms, business intelligence, reporting, analytics, data governance, and core data concepts.
Proven ability to translate business needs into product specifications, technical requirements, user stories, acceptance criteria, and measurable business outcomes.
Experience working collaboratively with product and engineering teams in environments that emphasize rapid prototyping, iterative discovery, and early technical collaboration.
Strong communication, facilitation, stakeholder management, and cross-functional collaboration skills.
Familiarity with AI-assisted product development, prompt-based experimentation, rapid prototyping, or AI-generated specifications and documentation is an asset.
Experience with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or equivalent technologies is preferred.
Exposure to enterprise SaaS business models and operational metrics is beneficial.
Ability to balance strategic thinking with hands-on product discovery, prioritization, documentation, and delivery.

Benefits

Full-time remote position with a flexible work environment.
Annual base salary of $92,000–$100,000 USD for employees located in the United States.
Eligibility for incentive compensation through a company bonus plan.
Medical, dental, and vision insurance.
Life and short- and long-term disability coverage.
Retirement plan with employer matching.
Flexible paid time off.
Paid parental leave.
Remote work stipend.
Professional development reimbursement.
Benefits and employment support tailored to applicable local requirements for eligible employees.
Opportunity to work on data, AI, and accessibility-focused initiatives with cross-functional teams.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...