Vice President, Data Analytics; Quality and Info Analytics

The Centers•Cleveland, OH

About The Position

At The Centers, meaningful work is grounded in a culture where people feel valued. As a 2026 USA TODAY Top Workplaces winner, the organization is nationally recognized, based entirely on employee feedback, for trust, purpose, and care. This position plays an important role in advancing our mission and supporting the communities we serve. Job Summary The Vice President (VP) of Data Analytics provides strategic leadership for the organization’s enterprise analytics, evaluation, and data-driven decision-making. This role is responsible for transforming programmatic operations into actionable insights that drive performance and value. The VP of Data Analytics serves as a bridge between technical data experts (HR, Finance, and IT) and executive leadership, ensuring that data is not only accurate and accessible, but aligned with organizational goals, outcomes, and community impact. The VP actively participates in quality and process improvement evaluation, and reporting requirements and develops outcomes and KPIs, ensuring that data moves beyond dashboards and counts — becoming a strategic asset that drives outcomes, value, objectivity, and organizational learning.

Requirements

Master’s Degree or higher in data analytics, statistics, public health, economics, data science, or related field
Demonstrated experience leading enterprise analytics in complex, multi-stakeholder environments
A minimum of 8-10 years of progressive experience in analytics, evaluation, or data leadership
Ability to translate technical findings into executive-level insight
Strong understanding of data governance, performance measurement, and evaluation methodologies

Nice To Haves

Experience in healthcare, population health, public sector, or community-based organizations preferred
Experience supporting value-based care, outcomes-based funding, or performance-driven contracts preferred
Familiarity with BI tools, data visualizations platforms such as Tableau, and advanced analytics techniques preferred
Experience closely with Finance, HR, and IT leaders preferred

Responsibilities

Develop and lead a comprehensive enterprise analytics strategy aligned with organizational mission, strategy, and value-based goals
Establish and oversee key performance indicators (KPIs) that integrate financial, workforce, operational, quality, and outcomes data
Ensure consistency in data definitions, standards, and methodologies across departments
Lead the development of predictive, prescriptive, and impact analytics to support strategic planning, population health, and performance improvement
Design and oversee evaluation frameworks linking inputs, activities, outputs, outcomes, and impact
Translate complex data analyses into clear, compelling insights for executive leadership, board of directors, founders, and external stakeholders
Co-lead enterprise data governance efforts, including data quality, stewardship, access, and ethical use
Ensure compliance with regulatory, privacy, and security standards related to data use and reporting
Promote data integrity and reliability across all analytics and products
Oversee the development of programmatic and operational dashboards, scorecards, and reports that drive accountability and performance
Ensure analytics outputs are accessible, unbiased, and understandable for heterogenous audiences
Elevate the organization’s data literacy and analytic maturity through coaching and professional development
Oversee and mentor a team (2-3 direct reports initially, with expected growth), including hiring, coaching, performance management, and capability development
Lead and develop analytics and evaluation
Foster a culture of curiosity, continues improvement, and evidence-based decision-making
Build internal capacity for data use across departments
Partner with Finance to connect cost, revenue, and financial performance with outcomes, ROI, and value-based metrics
Partner with Human Resources (HR) to link workforce analytics (staffing, engagement, retention) to quality, productivity, and organizational performance
Partner with IT to align data infrastructure, governance, security, and analytics tools with business and evaluation needs
Serve as a trusted advisor to senior leaders on data-informed decision-making
Other duties as assigned