Director – Data Product Solutioning and Build - Hybrid

Surgery Partners Careers•Nashville, TN

8d•Hybrid

About The Position

This position operates at the intersection of business strategy, data, and execution, requiring strong problem-solving, cross-functional collaboration, and solution development capabilities in complex and evolving environments. 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.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field.
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.)
Solid foundation in BI/analytics tools (platform-agnostic mindset).
Strong knowledge of IT infrastructure, cybersecurity, cloud computing, and enterprise applications.
Excellent leadership, communication, and problem-solving skills.

Nice To Haves

Master’s degree preferred.
Experience in healthcare or similarly complex, operational environments preferred.
Relevant certifications such as PMP, ITIL, CISSP, or Microsoft Certified: Azure Solutions Architect are preferred.
Familiarity with modern data platforms and data modeling concepts and exposure to advanced analytics or AI use cases in a business setting preferred.

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.