Data Product Manager

About the Role

Key Responsibilities

• Define data product strategy and vision aligned with our clients' goals.
• Develop a product roadmap that evolves with changing user needs.
• Identify enterprise data opportunities and user needs through research and analysis.
• Conduct design sessions with business unit stakeholders to ideate and yield draft product requirements.
• Conduct user interviews and surveys to gather insights and validate product concepts.
• Develop mockups and conduct usability testing.
• Engage in competitive analysis to identify differentiation opportunities.
• Utilize data-driven techniques to uncover emerging trends and inform discovery.
• Partner with engineering, solution architects, and business unit stakeholders to translate discovery insights into product features.
• Prioritize features and functionalities based on business impact and technical feasibility.
• Engage with stakeholders across the organization to gather requirements and communicate product status.
• Advocate for the product within the company and ensure alignment with business objectives.
• Provide training and support for users and stakeholders to maximize product adoption.
• Utilize data analysis tools to derive insights and inform product decisions.
• Ensure the accuracy and quality of data within products.
• Define and monitor KPIs to assess product performance and ROI.
• Manage budget for product development and ensure optimal resource allocation.
• Prepare reports and presentations to communicate results and insights.
• Create product collateral such as case studies and one-pagers.

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or related analytical field.
• Master's degree in an analytical field.
• Experience in product management, with a focus on data products and discovery.
• Strong technical background with an understanding of data technologies and tools.
• Excellent communication skills and ability to work cross-functionally.
• Proficiency in data analysis, data warehousing, and data software architecture considerations.
• Knowledge of software development processes such as ETL, CI/CD workflows, and error handling.
• Understanding of product lifecycle management.
• Experience with data visualization and reporting tools.
• Strong skills in product discovery, user research, and prototype testing.

Nice to Have

• Experience with data technologies and tools.
• Knowledge of data visualization and reporting tools.
• Experience with software development processes like ETL and CI/CD workflows.

Qualifications

• Bachelor's degree in a relevant analytical or technical field.
• Master's degree in an analytical field.

Benefits & Perks

• Medical, dental, vision, life, disability, and other insurance plans.
• Employee stock purchase program (ESPP) and 401K with company match.
• Health Savings Account (HSA) on the HDHP plan.
• SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions.
• Corporate discount savings program and other discounts.
• On-demand training programs, certification prep, and access to technical and leadership courses.
• Certification discounts and memberships with associations like CompTIA and IIBA.
• Dedicated customer service team and certified Career Coach.