Senior Director, Data Analytics & AI Engineering

Job Description

Job Description

ComResource is looking for a Senior Director, Data Analytics & AI Engineering.

Responsibilities:

Strategy, Planning, and Portfolio Leadership

• Lead execution of the data, analytics, and AI engineering strategy, translating organizational priorities and technology direction into operating plans, investment priorities, and measurable outcomes.
• Direct long-range planning, architecture, and resource allocation for enterprise data engineering, data science, and governance capabilities to ensure scalable, secure, and high-performing platforms.
• Develop annual business plans, operating objectives, and portfolio priorities aligned to long-term functional strategy, enterprise business needs, and measurable performance expectations.

Operating Model, Team Leadership, and Delivery Execution

• Lead the function through subordinate managers and senior leaders across data engineering, data science, and data governance, with accountability for team performance, staffing approaches, operating discipline, and coordinated execution across multiple teams.
• Sponsor modernization of the data and AI technology landscape and establish operating standards, engineering practices, and support models that strengthen reliability, scalability, and execution consistency.
• Ensure data and AI solutions are implemented, supported, monitored, and continuously improved in ways that enable durable adoption, operational performance, and enterprise value realization.

Enterprise Partnership and Solution Delivery

• Partner with technology delivery, data and analytics, security, digital, and operational leaders to align priorities, implementation sequencing, platform readiness, and delivery expectations.
• Partner with business, clinical, and operational stakeholders to define desired outcomes, shape solution priorities, and operationalize data and AI capabilities that improve decision-making, workflows, and performance.
• Shape executable roadmaps and guide governance and investment decisions in partnership with enterprise strategy, architecture, finance, and operational leadership.

Governance, Data Trust, and Responsible Use

• Ensure strong data quality, integrity, reliability, and stewardship practices across engineering efforts in partnership with governance and platform teams.
• Partner with cybersecurity, privacy, and compliance leaders to embed security, regulatory, and responsible use requirements into data, analytics, and AI solutions.
• Support enterprise governance, prioritization, and decision forums that promote disciplined use of data assets, clear standards, and consistent execution across the portfolio.

Capability Development and Executive Partnership

• Strengthen organizational capability by developing leadership depth, technical expertise, and data and analytics literacy across teams and stakeholder groups.
• Serve as a trusted partner to senior leaders, providing clear insight into portfolio priorities, delivery progress, risks, and opportunities to support informed enterprise decision-making.

Essentials:

• Master's degree in Computer and Information Science, Analytics, Data Science, or a related data field, or equivalent experience with a quantitative mindset.
• Strong knowledge of the requirements, risks, and opportunities around deploying data science, ML, and AI at scale.
• Strong knowledge and experience in transforming technical landscapes to adapt to business needs and seize the value creation potential of data platforms.
• Proven experience leading transformational change.
• Excellent leadership and communication skills with proficiency across hierarchy and function.

Desired:

• Prior experience with data platform modernization and cloud enablement.

Req ID: RB65119363