VP, Chief Data and AI Driven Analytics Officer
Software Engineering, Data Science · Full-time
Beverly, MA, USA
USD 370k-400k / year
When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives.
Job Description:
The Vice President, Chief Data and AI Driven Analytics Officer is responsible for establishing and leading an enterprise-wide capability in which artificial intelligence serves as the primary analytics engine for converting complex clinical, operational, financial, workforce, research, and consumer data into timely insights, predictions, recommendations, and actions. Partners with executive, clinical, operational, research, financial, compliance, privacy, security, and technology leaders to define strategy, priorities, governance, investment, and measurable value.
Provides executive leadership for an AI-first analytics ecosystem built on trusted Epic EHR and enterprise data. The role advances machine learning, generative AI, natural language processing, intelligent agents, predictive and prescriptive analytics, and embedded decision intelligence that deliver insights within clinical and business workflows. Traditional reports, dashboards, and business intelligence tools are used selectively when appropriate, rather than serving as the primary method for analysis or decision support.
Aligns the data, AI, and analytics roadmap with organizational strategy and regulatory obligations while ensuring that AI-enabled insights are accurate, explainable, equitable, secure, and actionable. Builds enterprise capability through strong data foundations, reusable AI services, responsible AI governance, talent development, product operating models, workflow redesign, change management, vendor oversight, and adoption.
Essential Duties & Responsibilities including but not limited to:
- Leads the enterprise data and analytics strategy and multiyear roadmap, positioning AI as the primary engine for generating insights, predictions, recommendations, and workflow actions across clinical and business domains.
- Chairs enterprise governance for data, AI, intelligent agents, and predictive decision support, including decision rights, data stewardship, use-case intake, risk tiering, human oversight, model approval, and lifecycle accountability.
- Directs the development, acquisition, validation, deployment, and monitoring of machine learning, generative AI, natural language processing, predictive and prescriptive models, intelligent agents, and automation, with controls for performance, drift, bias, explainability, privacy, security, and patient safety.
- Creates an AI-ready data foundation through enterprise standards for data quality, semantic consistency, lineage, metadata, master data, identity management, access, retention, and appropriate use, enabling trusted models and reusable intelligence at scale.
- Partners with clinical and operational leaders to replace static, retrospective reporting where appropriate with AI-enabled forecasting, anomaly detection, summarization, conversational analysis, recommendations, and embedded decision support within Epic and other workflows.
- Defines product, value, and portfolio management practices for AI-driven analytics; measures clinical and business outcomes, adoption, model performance, total cost of ownership, vendor performance, and return on investment, and retires solutions that do not meet established thresholds.
- Builds, develops, and retains multidisciplinary teams across data engineering, architecture, data science, machine learning engineering, AI/ML operations, analytics product management, prompt and knowledge engineering, governance, and adoption.
- Ensures compliance with applicable privacy, security, information sharing, records management, research, and health IT requirements, partnering with Legal, Compliance, Privacy, Cybersecurity, and clinical governance on emerging AI and data obligations.
- Manages operating and capital budgets, strategic vendors, contracts, platform performance, and executive communications; represents the data and AI-driven analytics function on enterprise committees and with external partners.
Preferred Leadership Competencies:
Coaching and Developing Others
Providing feedback, instruction, and developmental guidance to help others excel in their current or future job responsibilities; planning and supporting individual development.
Driving Results
Translating strategic priorities into operational reality and aligning accountability, resources, processes, and measurement to achieve sustainable results.
Emotional Intelligence
Establishing and sustaining trusting relationships and responding effectively within a complex organizational environment.
Leading Change
Identifying and driving organizational and cultural changes needed to adapt to changing market demands, technology, and internal initiatives.
Systems Thinking/ Setting Healthcare Business Strategy
Establishing a long-term business direction after considering clinical and financial data, resources, market drivers, organizational values, technology, and policy.
Organizational Requirements:
- Maintain strict adherence to the BILH Confidentiality policy.
- Incorporate BILH Standards of Behavior and Guiding Principles into daily activities.
- Comply with all BILH Policies and departmental expectations.
- Maintain courteous and effective interactions with colleagues and patients.
- Participate in quality improvement activities and successfully complete Mandatory Education.
- Perform all other duties as needed or directed.
Education:
Master's degree in Computer Science, Information Systems, Data Science, Analytics, Artificial Intelligence, Business, Healthcare Administration, or a related field required; equivalent combination of education and relevant executive experience may be considered.
Licensure, Certification & Registration:
No licensure or certification required. Epic analytics certification(s) or proficiency, and credentials in data governance, cloud, analytics, or responsible AI are preferred.
Experience:
Fifteen (15) or more years of progressively responsible experience in healthcare data, analytics, technology, informatics, or related functions required. Seven (7) or more years of leadership experience, including responsibility for enterprise strategy, teams, budgets, governance, and executive stakeholder engagement, required. Experience leading data and analytics in a large, complex, multi-entity health system required; experience with Epic EHR analytics, enterprise AI platforms, cloud services, advanced analytics, and AI-enabled solutions strongly preferred.
Skills, Knowledge & Abilities:
Demonstrated expertise in AI-first analytics strategy, enterprise data and AI governance, product operating models, portfolio management, organizational design, workflow transformation, and change leadership. Executive-level knowledge of healthcare delivery, clinical and revenue-cycle workflows, data privacy and security, interoperability, data quality, model risk, algorithmic bias, and responsible AI practices.
Preferred Qualifications & Skills:
Demonstrated success leading enterprise transformation in complex, regulated environments; experience establishing data governance and responsible AI programs, scaling AI products, and measuring clinical and business value preferred.
Dept/Unit Specific Skills:
Deep knowledge of Epic EHR data capabilities, enterprise data architecture, cloud and AI platforms, interoperability standards, data engineering, machine learning, generative AI, natural language processing, intelligent agents, model operations, knowledge retrieval, responsible AI, and cybersecurity controls. Ability to shift analytics from primarily dashboard-based reporting to embedded, predictive, prescriptive, and conversational intelligence.
Pay Range:
$370,000.00 USD - $400,000.00 USDThe pay range listed for this position is the annual base salary range the organization reasonably and in good faith expects to pay for this position at this time. In addition to base compensation, this position may be eligible for additional compensation, which may include performance-based incentive bonuses.