Sr. Data Product Manager

Who We Are: 

Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today.

JOB MISSION:
New Balance is dedicated to operating a data lead organization and is building out an enterprise data product and platform organization to support business growth, data maturity and manage the complexity of our data ecosystem. The Senior Product Manager, Data Product will play a pivotal role in bringing data products to life and build the data product team structure and deploy data products to market. Data products at New Balance enable our analyst community, solve specific problems and enable data-driven decision-making within an organization.  The Senior Data Product Manager must be able to work at the strategic level (e.g. generating innovative ideas for growth, establishing OKRs, leading through change management, advancing the data product model and new ways of working) and at the tactical level (e.g. analyzing data, solving problems, being a force multiplier and leader of their teams, operating agile). This position is based in our Boston location on a Hybrid work model (T,W,Th). Travel (20%) and collaboration across multiple time zones required.

MAJOR ACCOUNTABILITIES:

• Team Management: Manage a team of Data Product Owners; develop organizational plan, support development and ensure alignment with Digital Product and Data & Analytics leaders.

• Product Strategy: Develop and execute a comprehensive product strategy for data products, aligning with business goals and market needs; manage data product lifecycle.

• Stakeholder Collaboration & Requirements Gathering: Work closely with analytics teams and other stakeholders to understand their requirements, gather feedback, and ensure data products meet their needs.

• Product Development: Lead the overall end-to-end product development lifecycle, from ideation to launch, ensuring timely delivery and high-quality standards.

• Data Integration: Oversee the integration of data sources and ensure seamless data flow and accessibility for analytics teams.

• Performance Monitoring: Monitor product performance, analyze key metrics, and implement improvements based on data-driven insights.

• Cross-functional Collaboration: Collaborate with engineering, agile project management, product operations, stakeholders, business owners and additional digital product management teams.

• Data Management: Ensure that data products adhere to regulatory requirements, internal policies, and industry best practices, particularly in areas such as data privacy, security, and financial reporting standards.
  Roadmap Management: Define and manage the product roadmap, prioritizing features and enhancements based on stakeholder feedback and business objectives.

• Documentation: Maintain comprehensive product documentation, including specifications, user guides, and training materials.

• Change Management: Drive the change management process for data product technology transformations, ensuring smooth adoption of new data products and technologies by end-users and stakeholders.

REQUIRMENTS FOR SUCCESS:

• Education: Bachelor's degree in Computer Science, Data Science, Business, or a related field. Advanced degree preferred.

• Experience: Proven experience as a Product Manager, preferably in data products or analytics-focused roles. Minimum of 10 years product management experience with minimum 4+ years in a data product role in a global organization, team leadership required.

• Skills: Strong understanding of data analytics, data integration, and data visualization tools. Excellent communication and collaboration skills.

• Technical Proficiency: Familiarity with data management platforms, SQL, and other relevant technologies.

• Analytical Mindset: Ability to analyze complex data sets and derive actionable insights.

• Leadership: Demonstrated leadership skills with the ability to drive cross-functional teams towards a common goal.

• Problem-solving: Strong problem-solving skills and the ability to think strategically and creatively.

• Strong understanding of Agile principles and methodologies

• Outcome oriented: You focus on delivering outcomes compared to outputs by leveraging t