Vice President, Data Management & Advanced Analytics

Merakey is seeking a Vice President, Data & Advanced Analytics to lead the organization’s strategic roadmap and implementation of enterprise data, analytics, integrations during a period of significant growth and transformation. Reporting to Chief Information Officer Tom Morgan, this leader will work closely with CEO Joe Martz and the executive leadership team to establish data as a strategic enterprise asset and build the capabilities required to support Merakey’s continued expansion. 

As Merakey grows its approximately $1 billion platform through acquisitions and regional partnerships, the organization is evolving from a highly decentralized human services model toward a more integrated national healthcare and human services platform. This creates an important opportunity to strengthen how clinical data is governed, integrated, and leveraged across enterprises to improve decision-making, demonstrate outcomes, support reimbursement, and enable growth.  

The Vice President will lead the evolution of Merakey’s enterprise capabilities across data science, data engineering, master data management, governance, advanced analytics, business intelligence, system integration, and AI. Working across technology, operations, finance, clinical and program leadership, and corporate functions, this executive will establish a scalable enterprise data strategy while driving practical solutions that address Merakey’s most important business priorities. 

This individual will serve as a strategic partner to both the CEO and CIO, helping translate Merakey’s growth strategy into the technology, data, and analytics capabilities required for the future.  
 

Key Responsibilities 

Working closely with CEO Joe Martz, and reporting to CIO Tom Morgan, the Vice President of Data & Advanced Analytics will conduct the following: 

Strategic Leadership & Business Partnership 

• Partners with the CEO, CIO, executive leadership team, and business leaders to develop enterprise data, analytics, and AI strategy aligned with Merakey’s growth and transformation objectives. 

• Serve as a strategic advisor to senior leadership, helping translate business priorities into scalable data, analytics, and technology capabilities. 

• Establish and prioritize an enterprise roadmap focused on the initiatives that create the greatest operational, clinical, financial, and strategic value. 

• Help define the future operating model for data and analytics, bringing greater coordination and consistency to capabilities currently distributed across the organization. 

PROJECT DESIGN and IMPLEMENTATION  

• Lead enterprise data science, data engineering, master data management, business intelligence, governance, advanced analytics, AI and custom development initiatives. 

• Works with the CIO, CEO and IT Leadership team to establish and prioritize a data analytics and application development enterprise roadmap focused on the initiatives that create the greatest operational, clinical, financial, and strategic value. 

• Help define the future operating model for data and analytics, bringing greater coordination and consistency to capabilities currently distributed across the organization. 

Enterprise Data Strategy & Governance 

• Develop and execute the enterprise data strategy, establishing how data is sourced, governed, integrated, standardized, and leveraged across the organization to support clinical, operational, financial, and strategic decision-making. 

• Define and advance the target-state enterprise data architecture, including the data lake, enterprise data warehouse, and related data platform capabilities required to create a scalable and accessible enterprise data ecosystem. 

• Establish a scalable framework for integrating data from disparate source systems and business platforms, including approximately 60 clinical platforms, with a focus on interoperability, consistency, and enterprise-wide usability. 

• Build and maintain an enterprise data governance framework that defines data ownership, stewardship, quality standards, common definitions, lineage, security, access, and lifecycle management across the organization. 

• Advance master data management and enterprise data integration capabilities to improve the consistency, quality, accessibility, and reliability of critical data across businesses, service lines, and acquired organizations. 

• Partner with clinical, operational, financial, technology, and functional leaders to establish consistent enterprise data standards while respecting functional ownership of domain-specific data and analytics. 

• Lead the enterprise approach to clinical data integration and governance across the distributed clinical technology environment, creating greater consistency and connectivity without requiring direct ownership of the underlying clinical platforms. 

• Develop appropriate systems and platforms to produce agreed upon enterprise KPI, reporting, and data standards that create greater consistency, transparency, and comparability across Merakey’s service lines, operating units, and regions. 

• Support the acquisition and affiliation strategy by establishing repeatable approaches for assessing, integrating, governing, and incorporating newly acquired data environments into the broader enterprise data ecosystem. 

• Partner with Finance and HR/HRIS on enterprise data standards and integration where workforce data is required for broader enterprise analytics, while workforce reporting, workforce analytics, workforce health metrics, and workforce risk-factor analytics. 

Data-Driven Decision-Making & Business Intelligence 

• Leverage data and analytics to provide actionable insights that enable faster, more informed operational and strategic decision-making. 

• Develop scalable executive dashboards, enterprise reporting, and analytics capabilities that improve visibility into clinical, operational, financial, workforce, and organizational performance. 

• Partner with business leaders to identify opportunities where better information and analytics can improve performance, demonstrate outcomes, and strengthen Merakey’s interactions with payors, government partners, and other stakeholders. 

Advanced Analytics, AI & Innovation 

• Develop Merakey’s enterprise approach to advanced analytics and AI, identifying practical opportunities to improve operations, decision-making, workforce effectiveness, and service delivery. 

• Partner with business and technology leaders to prioritize high-value AI and automation opportunities and translate them into measurable business outcomes. 

• Evaluate emerging technologies, platforms, and strategic partners that can accelerate Merakey’s data and AI capabilities. 

• Set a strategy and vision for adoption of analytics platforms that support the grown of the organization and provide opportunities for end-user adoption of analytic tools  

• Lead and partner cross-functionally to build the appropriate governance and operating frameworks to support responsible and scalable adoption of AI across the enterprise. 

Growth, Acquisitions & Enterprise Integration 

• Support Merakey’s acquisition and affiliation strategy by establishing scalable approaches to data integration, reporting, governance, and analytics across newly affiliated organizations. 

• Partner with other IT Teams and business leadership to assess acquired environments, rationalize platforms, and accelerate integration into Merakey’s broader enterprise data ecosystem.   

• Build capabilities that can scale as Merakey expands from its current 12-state footprint to a broader national platform. 

Change Leadership, Talent & Organizational Development 

• Lead organizational change required to transition Merakey from decentralized data environments toward a more coordinated enterprise model. 

• Assess, develop, and align data and analytics talent across the organization, identifying opportunities to strengthen capabilities, upskill existing teams, and recruit critical expertise. 

• Build a high-performing, business-oriented data organization capable of balancing strategic transformation with day-to-day execution. 

• Establish strong relationships across a diverse workforce and create greater organizational understanding of how data can support Merakey’s mission and business objectives. 

Technology & Vendor Partnership 

• Partner with the CIO and technology leadership team on enterprise architecture, platform strategy, integration, security, and technology priorities. 

• Evaluate build-versus-buy decisions and develop a strategic ecosystem of data, AI, cloud, and technology partners. 

• Establish strong vendor governance, including performance expectations, KPIs, executive business reviews, service levels, and accountability for outcomes. 

The role requires a candidate with a track record of success in leading strategic transformation efforts, with a strong understanding of healthcare operations.  

Technical Abilities 

• Minimum of 15 years of data IT experience across the full spectrum of data management, business intelligence, advanced analytics, and data science, including at least 10 years in a leadership role. 

• In-depth knowledge and hands-on experience in data modeling, data integration, ETL processes, and data engineering. 

• Experience with modern cloud data platforms, data warehouses, SQL, and business intelligence tools (e.g., Snowflake, Azure, Databricks, Power BI, Tableau, or similar). 

• Proficiency in AI, Data and EMR platforms.  

• Experience in applying advanced analytics and AI to solve operational business problems. 

• In-depth knowledge and hands-on experience in master data management and data governance. 

• Demonstrated ability to partner with executive stakeholders to translate business priorities into enterprise data and analytics solutions. 

• Robust background in business process management.  

Additional Experience 

• A strategic thought leader with significant experience in data and analytics, particularly within an executive or senior management role.  

• Experience leading enterprise analytics, business intelligence, data engineering, governance, and AI initiatives. 

• Demonstrated success in leading master data management and governance initiatives.  

• Proficient in translating data into strategic business initiatives and process improvements. 

• Bachelors / Master’s degree in Data Analytics, Data Science, Computer Science, Information Technology Management or related field.  

• Demonstrated experience in building strong, robust, skilled teams in support of these objectives.