Managing Director- Enterprise Data Management

Key Responsibilities:

• Enterprise Data Strategy & Leadership:

• In partnership with CTO, develop and execute a comprehensive data strategy that aligns with NCAA's mission and business objectives.

• Report directly to the CTO and collaborate with senior executives to define long-term roadmaps for data, analytics, and AI initiatives.

• Build, lead, and inspire a high-performing, cross-functional team—including directors, data engineers, data scientists, machine learning engineers, BI analysts, and AI specialists.

• Data Architecture, Engineering & Integration:

• Oversee the design and implementation of scalable, robust data architectures and enterprise cloud data warehouses.

• Ensure seamless integration of diverse data sources through optimized data pipelines and modern integration platforms.

• Data Governance, Quality & Security:

• Establish and enforce enterprise-wide data governance policies, data quality standards, and security measures in compliance with regulations such as GDPR and CCPA.

• Oversee master data management and metadata strategies to maintain data integrity and consistency across the organization.

• Artificial Intelligence & Advanced Analytics:

• Drive the development, deployment, and continuous improvement of machine learning models and AI-driven solutions using advanced tools such as TensorFlow, Python, and scikit-learn.

• Translate complex data insights into actionable strategies that enhance NCAA's operations and competitive advantage.

• Capital Projects & Application Managed Services (AMS):

• Lead and manage capital projects to implement cutting-edge data capabilities, ensuring projects are delivered on time and within budget.

• Oversee application-managed services to provide robust support and operational excellence across all internal data functions.

• Stakeholder Engagement & Cross-Functional Collaboration:

• Collaborate with product, program, and business units to understand and meet their data requirements.

• Communicate complex technical strategies to non-technical stakeholders and senior leadership.

• Culture & Organizational Excellence:

• Foster a culture of innovation, inclusivity, and continuous learning, modeling leadership and resource allocation excellence.

• Prioritize initiatives and manage resources to maximize the impact of NCAA's data and AI investments.

Technical Skills & Expertise:

• Data Architecture & Engineering:
• Extensive experience designing scalable data architectures and managing enterprise data warehouses (e.g., Snowflake, Informatica, Databricks).
• Proven expertise in building and optimizing ETL/ELT pipelines and ensuring seamless data integrations.
• Data Governance & Security:
• Deep knowledge of data governance frameworks, master data management, and data quality best practices.
• Proven track record in implementing data security measures and maintaining regulatory compliance.

• Artificial Intelligence & Machine Learning:

• Advanced proficiency in AI and machine learning technologies, including Python, TensorFlow, scikit-learn, and related frameworks.

• Demonstrated experience in deploying and scaling AI-driven business solutions.

• Cloud & Integration Technologies:

• Experience with cloud platforms (AWS, Azure, Google Cloud) and container orchestration tools (Docker, Kubernetes).

• Expertise in integration tools and methodologies to support complex, heterogeneous data environments.

Job Requirements:

• Bachelor's degree in Information Technology, Computer Science, Data Science, or a science degree.
• An advanced degree (Master's) is strongly preferred.
• Minimum of eight years of progressive IT leadership experience, with significant exposure to data architecture, analytics, AI, governance, and security.
• 10+ years of experience, preferred.
• Proven track record in managing cross-functional data initiatives and capital projects that deliver measurable business impact.
• Exceptional leadership, strategic planning, and stakeholder management skills.
• Ability to articulate complex technical concepts to diverse audiences, including non-technical executives.
• Demonstrated success in managing large IT budgets and making strategic technology investments.
• Estimated travel: