Chief Data Officer

Exemption Status: Exempt Schedule Details: Scheduled Hours: Shift: 1 - Day Shift, 8 Hours (United States of America) Hours: 40 Cost Center: 99940 - 5950 IS Administration This position may have a signing bonus available; a member of the Recruitment Team will confirm eligibility during the interview process. Reporting to the Senior Vice President/Chief Transformation Officer, the Chief Data Officer (CDO) provides enterprise leadership for UMass Memorial Health's data and analytics strategy, execution, and impact. The CDO leads an integrated data and analytics organization focused on enabling evidence‑based decision‑making, advancing data literacy, and improving clinical, operational, and strategic performance. The CDO drives transformation by delivering a modern, scalable data ecosystem including a Unified Data Platform and advancing advanced analytics capabilities such as predictive modeling and AI/ML. As a trusted advisor to executive leadership, the CDO ensures data strategies are aligned with business and clinical priorities and oversees enterprise data architecture, governance, analytics, reporting, and security. A core responsibility is the development and execution of Enterprise Data Strategy, supported by strong data governance and cross‑functional partnerships with IS, clinical, operational, and transformation leaders. The CDO champions modernization of the analytics technology stack and expands access to trusted data through self‑service capabilities. The role requires demonstrated thought leadership and a track record of measurable impact, as well as the ability to build and lead a high‑performing team of data engineers, analysts, data scientists, and governance professionals. Success will be measured by enterprise adoption of analytics, delivery of the Unified Data Platform, measurable performance improvements, and sustained increases in data literacy and decision quality. Delivery of the Unified Data Platform Establishing a unified and trusted enterprise data strategy and governance model Elevating the use of analytics in strategic and operational decisions Leading the adoption of advanced analytics, including AI and machine learning Driving integration and modernization of data platforms, tools, and capabilities Building and developing a cross‑functional, high‑impact data and analytics team Collaborating with stakeholders to define and prioritize enterprise‑wide data initiatives Ensuring robust data governance, security, and compliance practices Fostering a culture of curiosity, innovation, and data fluency across UMMH Major Responsibilities Lead the 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 the enterprise data ecosystem, data warehouses, data lakes, and analytics platforms, and partner closely with Information Services to ensure secure, scalable, and high‑performing infrastructure. Ensure secure, high‑quality data ingestion, integration, and management across clinical, operational, and financial domains to support trusted analytics and insights. 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, to enable real‑time and strategic decision‑making. Drive continuous improvement of analytics services through performance metrics, adoption tracking, and stakeholder feedback. Partner with executive, clinical, and operational leaders to identify and prioritize high‑impact opportunities where data and analytics can drive performance improvement and innovation. Build, lead, and develop a high‑performing, diverse data and analytics team, fostering professional growth and cross‑functional collaboration. Monitor industry trends and emerging technologies, and manage strategic vendors and external partnerships to keep the organization at the forefront of data and analytics practices. Standard Executive Level Responsibilities Directs and supervises assigned personnel including performance evaluations, scheduling, orientation, and training. Makes recommendations on employee hires, transfers, promotions, demotions, discipline, terminations, and similar actions. Develops and recommends the budgets for the areas managed. Ensures adequate equipment and supplies for department. Manages activities to assure financial goals are met. Encourages and supports diverse views and approaches, demonstrates Standards of Respect, and contributes to creating and maintaining an environment of professionalism, respect, tolerance, civility and acceptance toward all employees, patients and visitors. Integrates diversity into departmental objectives, such as hiring, promotions, training, vendor selections, etc. Fosters the effective integration of efforts with system‑wide initiatives. Participates in performance improvement initiatives and demonstrates the use of quality improvement in daily operations. Ensures compliance with regulatory agencies such as Joint Commission, DPH, etc. Develops and maintains procedures necessary to meet regulatory requirements. Ensures that department complies with hospital established policies, quality assurance programs, safety, and infection control policies and procedures. Develops and maintains established departmental policies, procedures, and objectives. Ensures compliance to all health and safety regulations and requirements. All responsibilities are essential job functions unless noted otherwise. Position Qualifications License/Certification/Education: Required: Bachelor's degree in Data Science, Computer Science, Information Systems, Business, or related field. Preferred: Master's degree in a relevant field (e.g., Data Analytics, Health Informatics, Business Administration) strongly preferred. Experience/Skill Required: 10+ years of progressive leadership experience in enterprise data, analytics, or BI roles, including 5+ years in a senior executive role. Proven experience leading data transformation efforts within a large, complex, and regulated environment, preferably in healthcare. Expert knowledge of advanced data management, data architecture, data governance, and modern analytics tools/platforms. Demonstrated success in implementing advanced analytics, machine learning, and predictive modeling. Strong experience with healthcare data systems (e.g., Epic, claims data, population health tools) and 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. Exposure to Lean philosophies. Physical Demands and Environmental Conditions Work is considered sedentary. Position requires work indoors in a normal office environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. As an equal opportunity and affirmative action employer, UMass Memorial Health recognizes the power of a diverse community and encourages applications from individuals with varied experiences, perspectives and backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, protected veteran status or other status protected by law. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at View email address on click.appcast.io. We will make every effort to respond to your request for disability assistance as soon as possible. #J-18808-Ljbffr