Chief Data Officer

UMass Memorial Health•Worcester, MA

About The Position

The Chief Data Officer (CDO) provides enterprise leadership for UMass Memorial Health’s data and analytics strategy, execution, and impact. Reporting to the Senior Vice President/Chief Transformation Officer, the CDO leads an integrated data and analytics organization that enables evidence-based decision-making, advances data literacy, and improves clinical, operational, and strategic performance. The CDO leads transformation through delivery of a modern, scalable data ecosystem, including a Unified Data Platform, and advances predictive modeling and AI/ML capabilities. The role advises executive leadership, aligns data strategies with business and clinical priorities, and oversees enterprise data architecture, governance, analytics, reporting, and security. A core responsibility is developing and executing the Enterprise Data Strategy through strong governance and partnerships with Information Services, clinical, operational, and transformation leaders. The CDO also modernizes the analytics technology stack and expands access to trusted data through self-service capabilities. The role requires demonstrated thought leadership and measurable impact, along with the ability to build and lead a high-performing team of data engineers, analysts, data scientists, and governance professionals. Success is measured by enterprise adoption of analytics, delivery of the Unified Data Platform, measurable performance improvements, and sustained increases in data literacy and decision quality. This is a 40-hour-per-week position scheduled Monday through Friday, 8:30 a.m. to 5:00 p.m., on the day shift. Work is sedentary and performed indoors in a normal office environment.

Requirements

Bachelor’s degree in Data Science, Computer Science, Information Systems, Business, or a related field.
At least 10 years of progressive leadership experience in enterprise data, analytics, or business intelligence roles, including at least 5 years in a senior executive role.
Proven experience leading data transformation in a large, complex, regulated environment; healthcare experience is preferred.
Expert knowledge of advanced data management, data architecture, data governance, and modern analytics tools and platforms.
Demonstrated success implementing advanced analytics, machine learning, and predictive modeling.
Strong experience with healthcare data systems, such as Epic, claims data, and population health tools, and with regulatory requirements.
Excellent communication and relationship-building skills, with the ability to influence and align stakeholders at all levels.
Strong vendor management and budgeting experience.
Strategic thinker with a hands-on approach and strong execution capability.

Nice To Haves

Master’s degree in a relevant field, such as Data Analytics, Health Informatics, or Business Administration.
Healthcare experience leading data transformation efforts.
Exposure to Lean philosophies.

Responsibilities

Lead development and execution of a unified enterprise data and analytics strategy aligned with organizational objectives, with enterprise authority over data standards, analytics platforms, and governance frameworks.
Modernize and oversee enterprise data ecosystems, data warehouses, data lakes, and analytics platforms, partnering with Information Services to ensure secure, scalable, high-performing infrastructure.
Ensure secure, high-quality data ingestion, integration, and management across clinical, operational, and financial domains.
Establish and lead enterprise data governance, stewardship, and data quality programs in compliance with privacy, security, and regulatory requirements.
Advance analytics and data science capabilities, including self-service analytics, predictive modeling, population health analytics, and AI-driven decision support.
Improve analytics services through performance metrics, adoption tracking, and stakeholder feedback.
Partner with executive, clinical, and operational leaders to identify and prioritize high-impact data and analytics opportunities.
Build, lead, and develop a high-performing, diverse data and analytics team, supporting professional growth and cross-functional collaboration.
Monitor industry trends and emerging technologies, and manage strategic vendors and external partnerships.
Deliver the Unified Data Platform and establish a unified, trusted enterprise data strategy and governance model.
Elevate analytics use in strategic and operational decisions and lead adoption of AI and machine learning.
Drive integration and modernization of data platforms, tools, and capabilities.
Foster curiosity, innovation, and data fluency across UMass Memorial Health.
Direct and supervise assigned personnel, including performance evaluations, scheduling, orientation, and training; make recommendations regarding personnel actions.
Develop and recommend budgets, ensure adequate equipment and supplies, and manage activities to meet financial goals.
Support diverse views and approaches, demonstrate Standards of Respect, and help maintain a professional, respectful, tolerant, civil, and accepting environment.
Integrate diversity into departmental objectives, including hiring, promotions, training, and vendor selections.
Integrate efforts with system-wide initiatives and participate in performance-improvement initiatives, applying quality improvement in daily operations.
Ensure compliance with regulatory agencies and maintain procedures, policies, quality assurance programs, safety, infection control, and departmental objectives.
Ensure compliance with health and safety regulations and requirements.