Senior Data Product Lead

Department: Business Intelligence

Location: Overland Park, KS - Headquarters

Employment Type: FullTime

Essential Duties and Responsibilities:

Data Product Ownership & Delivery

• Act as a data product owner by partnering with business stakeholders to identify, prioritize, and deliver new or enhanced data products, reports, and analytics aligned to business needs

• Lead end-to-end requirements gathering, including defining data fields, business definitions, transformations, and business logic, and translating requirements into clear user stories and acceptance criteria

• Collaborate closely with Data Engineering and BI teams throughout the development lifecycle to ensure alignment on scope, timelines, and expected outcomes

• Steward user acceptance testing (UAT), ensuring delivered solutions meet business requirements and data quality expectations

• Define, document, and maintain team-wide standards, processes, and templates for data product management and requirements documentation

• Influence adoption of standards and best practices across Data Management, BI, and Engineering teams

• Review data product deliverables for alignment with agreed-upon standards and governance expectations

• Champion data quality, data lineage, and regulatory reporting considerations throughout the data product lifecycle

• Maintain and enhance data catalog and metadata content to improve data discoverability and confidence

• Coordinate cross-team data integration strategies across platforms and business domains

• Develop and maintain a strategic roadmap for ongoing data product development in partnership with business and Data and BI leadership

• Demonstrate leadership by coaching team members, sharing best practices, and driving continuous improvement in how the team executes data initiatives

• Provide hands-on analytical support as needed, including SQL-based analysis and validation of data outputs

• Perform light project management activities by coordinating dependencies, tracking progress, and supporting on-time delivery of data initiatives

Required Education and Experience:

• Bachelor’s degree in Data Analytics, Data Engineering, Data Science, Finance, or a related field

• 7+ years of experience in data product management, data analytics, or a related data-focused role

• Direct experience acting as a data product owner or data product management practitioner

• Demonstrated success launching and/or managing data products with measurable business impact

• Proven experience defining, documenting, and standardizing business and data requirements and translating them into technical deliverables

• Experience working in regulated environments with exposure to data quality and regulatory reporting concepts

Skills:

• Strong ability to translate complex business needs into data product capabilities and roadmap features

• Strong SQL skills and experience working with cloud data platforms (e.g. Snowflake); familiarity with dbt is a plus

• Familiarity with data platforms and tools such as Snowflake, APIs, data catalogs (e.g., Alation, Collibra), and BI tools (e.g., Tableau, Power BI, Alteryx)

• Hands-on experience with product management tools (e.g., YouTrack, Jira)

• Working knowledge of data catalogs and metadata management tools (e.g., Alation, Collibra, or similar)

• Demonstrated ability to lead through influence, drive adoption of standards, and support change management efforts

• Excellent communication, facilitation, and presentation skills, with the ability to engage both technical and non-technical audiences

• Comfortable in a fast-paced environment with high ambiguity and autonomy

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We welcome your interest in being a part of our firm. We believe in giving associates progressive opportunities, actively nurturing professional growth and giving back to the community. We are dedicated to building a diverse culture where everyone has the support they need to achieve their career goals. We offer an innovative workplace and a culture that fosters camaraderie, teamwork and work-life balance.

EOE M/F/D/V