Sr. Data Product Manager

Skechers•Hermosa Beach, CA

1d•$120,000 - $150,000•Hybrid

About The Position

We are seeking an experienced and execution-focused Senior Data Product Manager to lead the strategy, design, and delivery of enterprise data and analytics solutions. This role is responsible for translating business needs into impactful data products that enable informed decision-making through clear dashboards, strong data foundations, and modern analytics capabilities including AI, Machine Learning, and Generative AI. The ideal candidate combines strong business understanding, data proficiency, and product leadership with the ability to present complex information in a clear and actionable way. This role works closely with business stakeholders, analytics teams, and technology partners to deliver scalable, trusted, and widely adopted data solutions. This is a hybrid position based in Hermosa Beach, CA, requiring 2 days per week onsite.

Requirements

Demonstrated ability to design and deliver high-quality dashboards and data visualizations that support business decision-making.
Strong working proficiency in structuring, interpreting, and applying data to solve business problems and drive measurable outcomes.
Practical experience translating business needs into well-defined data, metrics, and reporting frameworks.
Proven ability to work closely with technical teams to shape scalable and usable data solutions.
Solid understanding of how AI, Machine Learning, and Generative AI can enhance analytics, forecasting, and business insights.
Experience ensuring data accuracy, consistency, and reliability in analytics outputs.
Strong analytical thinking, problem-solving, and structured decision-making capability.
Excellent communication skills with the ability to clearly present insights to both business and technical audiences.
Ability to lead cross-functional initiatives and drive adoption of data products.
Bachelor’s or Master’s degree in Business, Analytics, Computer Science, Engineering, or related field.
7+ years of experience in Data & Analytics, preferably in Business Intelligence and/or Product Management, with a demonstrated track record of delivering scalable, business-impacting data and analytics solutions.
Ability to work onsite in Hermosa Beach, CA 2 days per week.

Nice To Haves

Retail industry experience with strong understanding of Wholesale, Retail, eCommerce, and Supply Chain operations and data.
Experience designing decision-focused dashboards used by leadership and operational teams.
Experience improving data usability, accessibility, and trust across business users.
Exposure to modern analytics platforms and data ecosystems.
Experience applying AI-enabled or advanced analytics in a business environment.
Demonstrated ability to drive adoption, usage, and measurable business impact from data and analytics solutions.

Responsibilities

Data Product Strategy & Delivery Define and execute the roadmap for data and analytics products aligned to business priorities.
Translate business needs into structured data solutions, dashboards, and insights.
Drive adoption, usage, and measurable business value from data products.
Balance long-term strategy with immediate business priorities.
AI, Machine Learning & Modern Analytics Identify and implement opportunities to apply Artificial Intelligence (AI), Machine Learning, and Generative AI to enhance analytics, forecasting, and decision support.
Work with technical teams to embed intelligent insights and automation into data products.
Promote the use of modern analytics to improve business planning and performance visibility.
Dashboards, Visualization & Data Storytelling Lead the design and delivery of clear, intuitive, and decision-focused dashboards.
Translate complex data into meaningful visual insights for business and leadership.
Ensure dashboards are reliable, easy to use, and aligned with business metrics.
Apply best practices in data storytelling and visualization.
Data Understanding & Metric Alignment Develop deep understanding of business data and how it supports operations and decision-making.
Define and standardize business metrics, reporting logic, and data interpretation.
Ensure consistency and clarity across dashboards and analytics outputs.
Cross-Functional Collaboration Act as a bridge between business, analytics, and technology teams.
Lead requirement gathering, prioritization, and execution across initiatives.
Communicate clearly with both technical and non-technical stakeholders.
Data Quality & Continuous Improvement Ensure data accuracy, consistency, and reliability in reporting and analytics.
Drive improvements in data usability, accessibility, and trust.
Promote best practices for data and analytics across the organization.