Data & Analytics Product Lead

Primary Responsibilities

• Serve as the business segment lead for a portfolio of data and analytics products, acting as the primary liaison between business stakeholders, data teams, and technology partners.
• Define product vision, strategy, roadmaps, and priorities to support business objectives and maximize value delivery.
• Lead the identification, evaluation, and implementation of data, analytics, reporting, and automation solutions, including dashboards, data products, and workflow applications.
• Guide and influence cross-functional teams to deliver scalable, governed, and business-aligned solutions throughout the product lifecycle.
• Partner with stakeholders to drive adoption, measure outcomes, and continuously improve product capabilities and user experience.
• Contribute to solution design, prototyping, and development activities as needed while maintaining awareness of emerging technologies and industry best practices.

Basic Qualifications

• Bachelor's degree or equivalent work experience
• At least 7 years’ experience with BI applications; decision support systems, query and reporting, online analytical processing, statistical analysis, forecasting, and data mining.
• At least 5 years’ experience with tools, facilities and techniques for managing and administering data.
• At least 9 years’ experience within a total information technology (IT) environment.

Preferred Skills / Experience

• Product ownership, roadmap management, prioritization, and delivery of data and analytics products.
• Business intelligence, reporting, analytics, and workflow automation solutions.
• Stakeholder engagement, requirements management, and cross-functional leadership.
• Agile, Scrum, or iterative product delivery methodologies.
• Strategic thinker with strong business acumen.
• Ability to influence without direct authority.
• Strong communication and stakeholder management skills.
• Ability to balance tactical execution with long-term product strategy.
• Proven ability to translate complex business needs into practical data and analytics solutions.

Working Knowledge

• Business intelligence and visualization platforms (e.g., Power BI, Tableau).
• Workflow automation and low-code platforms (e.g., Power Apps, Power Automate).
• Modern data and analytics platforms, including cloud-based and traditional data warehouse technologies (e.g., Snowflake, Databricks, Azure Data Services, SQL Server).
• Data modeling, semantic layer design, reporting, and analytics solution development.
• Data governance, data quality, and information management practices.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law