Data Product Manager

Job Description

We are seeking an experienced Data Product Manager to lead the strategy, discovery, development, and delivery of enterprise data products. This individual will play a key role within the Data Office, driving 0-to-1 product innovation by transforming ambiguous business opportunities into scalable, data-driven solutions that create measurable business value.

The ideal candidate combines strong product management experience with technical expertise in data platforms, AI technologies, and stakeholder engagement. They will work cross-functionally with business leaders, data scientists, engineers, and architects to deliver innovative products that support enterprise objectives.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• Define and execute a data product strategy aligned with enterprise and Data Office goals.

• Create and maintain product roadmaps that evolve based on business priorities and user feedback.

• Identify new opportunities for data-driven products through research, analysis, and emerging technology trends.

• Lead 0-to-1 product ideation efforts, turning undefined problems into structured product concepts.

• Facilitate workshops and design sessions with business stakeholders to gather and refine requirements.

• Conduct user interviews, surveys, and market research to validate product concepts.

• Develop mockups, wireframes, and low-fidelity prototypes for rapid testing and feedback.

• Design and deliver functional prototypes that demonstrate business value and reduce investment risk.

• Collaborate with technical teams to incorporate AI, machine learning, and generative AI capabilities into products.

• Lead the development of AI agents, including defining objectives, integrations, orchestration, and success criteria.

• Establish prototype evaluation metrics and drive the transition from pilot to production.

• Oversee data migration and integration efforts using tools such as Databricks, AWS Glue, DMS, or similar technologies.

Required Skills and Experience:

• Bachelor's degree in Computer Science, Engineering, Data Science, Business, or a related field.

• 6-10+ years of experience in Product Management, Data Products, Digital Products, or related roles.

• Proven experience leading product discovery and 0-to-1 product development initiatives.

• Strong understanding of data platforms, enterprise data architecture, and data lifecycle management.

• Experience working with AI/ML technologies, Generative AI, LLMs, or AI-enabled product solutions.

• Experience collaborating with cross-functional teams in Agile environments.

• Excellent communication, stakeholder management, and presentation skills. - Master's degree in a related analytical or technical field.

• Experience with Databricks, AWS Glue, DMS, or similar data engineering/migration platforms.

• Experience with M365 solutions including SharePoint, Teams, OneDrive, and Power Platform.

• Familiarity with Jira, Azure DevOps, Trello, and Confluence.

• Knowledge of IT governance, financial forecasting, strategic planning, and product P&L management.