Senior Data Product Manager

5-15 years of experience. ideal candidate is someone who used to be a data engineer/tech analyst backend engineering experience needed!

Position Overview: The Product Analyst is responsible for leading the lifecycle of data-centric products, focusing on product discovery to ensure alignment with user needs and business value.

Key Responsibilities

Product Strategy and Vision:

• Define data product strategy and vision align
• Develop a product roadmap that evolves with changing user needs.
• Identify Enterprise Data opportunities and user needs through research and analysis.

Product Discovery:

• 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.

Product Development and Tech Oversight:

• 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.

Stakeholder Management:

• Engage with stakeholders across the organization to gather requirements and communicate product status.
• Advocate for product within the company and ensure alignment with business objectives.
• Provide training and support for users and stakeholders to maximize product adoption.

Data Analysis and Insights:

• Utilize data analysis tools to derive insights and inform product decisions.
• Ensure the accuracy and quality of data within products.

Performance Metrics and Reporting:

• Define and monitor KPIs to assess product performance and return on investment (e.g., product-level Profit and Loss forecasting and analysis).
• Manage budget for product development and ensure optimal resource allocation.
• Prepare reports and presentations to communicate results and insights.
• Create product collateral (e.g. case studies, 1-pagers).

Qualifications:

• 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.

Skills:

• Proficiency in data analysis, data warehousing, and other data software architecture considerations.
• Software development experience (e.g. knowledge of ETL processes, CI/CD workflows, alerts 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.