Director – Data Product Solutioning and Build - Hybrid

Duties And Responsibilities

• Partner directly with operational and business leaders to identify business challenges, clarify decision-making needs, and define desired business outcomes.
• Translate ambiguous business requirements into structured, actionable data and analytics solutions aligned with organizational priorities.
• Lead the end-to-end lifecycle of data products, including problem definition, solution design, development, deployment, adoption, and continuous improvement.
• Build and deliver intuitive, actionable analytics products, dashboards, tools, and workflows that support operational and strategic decision-making.
• Drive adoption of data products by embedding analytics into day-to-day business processes and decision workflows.
• Define, monitor, and evaluate product success metrics, including user adoption, behavioral changes, operational effectiveness, and business outcomes.
• Continuously assess product performance to enhance, automate, iterate, or sunset solutions based on business value and real-world effectiveness.
• Establish and reinforce consistent data definitions, metrics, standards, and governance practices across analytics products and reporting solutions.
• Partner with business and technical teams to align on trusted data sources and scalable, repeatable analytics processes.
• Contribute directly to solution development while providing leadership, guidance, and operational direction on data product strategy and execution.
• Support, mentor, and develop team members while promoting strong product thinking, quality standards, and execution excellence.

Qualifications

• Educational Background: Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred.
• Experience: Minimum of 7+ years of experience in business intelligence, analytics, or data-related roles. Experience building and delivering analytics or data products in a business environment. Experience working directly with non-technical stakeholders (operations, finance, etc.).
• Technical Skills: Solid foundation in BI/analytics tools (platform-agnostic mindset). Experience in healthcare or similarly complex, operational environments preferred.
• Certifications: Relevant certifications such as PMP, ITIL, CISSP, or Microsoft Certified: Azure Solutions Architect are preferred.
• Knowledge/Skills/Abilities: Strong ability to translate business problems into practical, actionable data solutions. Comfort working in ambiguity and figuring things out without a defined playbook. Strong knowledge of IT infrastructure, cybersecurity, cloud computing, and enterprise applications. Excellent leadership, communication, and problem-solving skills. Familiarity with modern data platforms and data modeling concepts and exposure to advanced analytics or AI use cases in a business setting preferred.
• Core Competencies: Strategic thinking, decision-making, project management, team leadership, and adaptability.