Director - Data & Analytics

Benefits

• Competitive compensation

• Medical, dental, and vision insurance

• 401(k) retirement savings plan with substantial company match

• Life and travel insurance

• Tuition assistance

• Wellness reimbursement program

• Paid holidays and vacation

We are seeking a visionary and enterprise-minded Director of Data & Analytics to lead the development and execution of enterprise-wide data and analytics capabilities. This role is part of the Office of the CIO and is central for partnering with the business to develop and execute data strategy, enable advanced analytics and AI capabilities, and oversee data engineering and support functions.

The ideal candidate will be a collaborative leader with a deep understanding of data as a critical asset that enables decision support, predictive insights, and resilient grid operations. The Director must demonstrate a commitment to cross-functional partnerships, executive engagement, and a continuous improvement mindset.

• Supports the development, adoption, and evolution of the enterprise data strategy, in close partnership with business leadership, aligned with utility operations, regulatory requirements, and Central Huson 2.0 transformation goals

• Enables strategic adoption of AI and generative AI technologies, integrating responsible AI principles, and championing data-driven value creation through predictive analytics and decision intelligence across utility domains

• Establishes and co-chairs enterprise data governance councils, setting policies, standards, and accountability structures that span business units and functions

• Influences and aligns cross-functional business and IT leaders to ensure seamless integration of data initiatives with strategic priorities

• Builds, leads, and mentors high-performing teams dedicated to data architecture, data analytics, data engineering, fostering a culture of constructive engagement and continuous innovation

• Oversees the design, implementation, and optimization of enterprise data platforms and pipelines, ensuring reliability, scalability, and performance for mission-critical operations

• Drives enterprise adoption of modern data engineering practices, including cloud-native architectures, data mesh, and real-time analytics, positioning the organization as an industry leader

• Leads modernization of analytics platforms, enabling actionable insights through self-service capabilities and advanced tools (e.g., Power BI, Databricks), and fostering data literacy across the enterprise

• Sets enterprise standards for data management, including metadata, lineage, master data, and data stewardship, ensuring data is trusted and fit for future

• Partners with business leaders, cybersecurity, and IT/OT to ensure data solutions meet evolving compliance, security, and audit requirements, and proactively address regulatory changes

• Defines, monitors, and reports on enterprise KPIs for data quality, platform performance, user adoption, governance maturity, and business impact to executive leadership

• Ensures enterprise alignment with risk and compliance frameworks, collaborating with GRC, Cybersecurity, Regulatory, and Legal to mitigate risks and uphold regulatory standards

• Provides support for storm restoration efforts

Required:

• Bachelor’s degree in computer science, data science, information systems, business administration or a related field of study and 7+ years of relevant experience in information technology, data & analytics, or a closely related domain

• 5+ years of leadership experience in data strategy, governance, engineering, or analytics

• Strong understanding of data governance, engineering, and management best practices

• Proficiency in modern data platforms and tools (e.g., Azure, Snowflake, Databricks, Power BI)

• Exceptional communication, stakeholder engagement, and change leadership skills

• Experience with frameworks such as DAMA-DMBOK, ISO, or similar

• Strong commitment to transparency, inclusion, and continuous improvement

• Valid driver’s license

• Master’s degree in computer science, data science, information systems, business…