ERCOT · 7 hours ago
Director - Data Products & AI Strategy
Taylor, TX
Full-time
Hybrid
Director/Executive
$181K/yr - $308K/yr
10+ years expERCOT is a dynamic organization focused on the future of the Texas power grid and wholesale market. The Director of Data Products & AI Strategy will lead the development of enterprise data products, analytics, and AI capabilities to ensure reliability and innovation in grid management.
Energy
Responsibilities
Responsible for hiring, coaching, training, and performance management of staff
Regularly interacts with executives and/or major customers. Interactions frequently involve special skills, such as negotiating with customers or management regarding matters of significance to the organization
Typically directs and controls the activities of a broad functional area through several department managers within ERCOT. Has overall control of planning, staffing, budgeting, managing expense priorities, and recommending and implementing changes to methods
Responsible for budgetary decisions within functional areas according to organizational policy/guidelines. Recommends financial decisions that impact area of responsibility
Define and execute enterprise data product and AI strategy aligned with organizational objectives and innovation initiatives
Develop multi-year roadmaps for data product innovation, analytics capabilities, and AI/ML maturity
Drive digital transformation through advanced analytics, data products, and artificial intelligence
Own enterprise data product portfolio planning, prioritization, and lifecycle management
Ensure predictable, high-quality delivery of data products, analytics assets, and ML models
Define enterprise standards for data product specifications, validation frameworks, and MLOps practices
Embed governance, risk, and compliance controls across data products and AI/ML models
Ensure ethical AI practices, fairness assessments, and responsible AI frameworks are integrated into operations
Drive privacy-by-design and security-by-design principles across all data products and AI initiatives
Build and lead high-performing teams across data product management, analytics, and AI/ML operations
Establish organizational structure, roles, and career development frameworks to support strategic goals
Develop and manage annual budgets, expense priorities, and ROI tracking for strategic investments
Collaborate cross-functionally with IT, business domains, regulatory affairs, and technology partners
Build trusted advisor relationships with executives and facilitate governance forums for data and AI initiatives
Negotiate with internal and external stakeholders on product requirements, SLAs, and delivery commitments
Manage escalations, resolve conflicts, and maintain transparency with executive leadership
Sponsor innovation programs, pilot projects, and adoption of industry best practices for analytics and AI
Benchmark capabilities against industry peers and foster a culture of continuous improvement
Coordinate unified strategies and priorities with platform and governance teams to ensure alignment
Represent the organization in industry forums, conferences, and strategic partnerships related to data and AI
Qualification
Required
Requires minimum 10 years job related work experience and 5 years in a management or leadership role in excess of degree requirements. Minimum years of job related experience can include time in leadership roles
Requires minimum of 10 years of progressively responsible experience in data products, analytics, business intelligence, AI/ML or generative AI domains
Demonstrated experience building and scaling data products, analytics organizations and AI application development teams
Proven track record developing and deploying AI-powered applications, including LLM-based systems, agentic AI, RAG architectures, or autonomous agents in production environments
Exceptional people leadership with ability to build, develop, and retain high-performing technical teams
Deep understanding of data product management, analytics development, MLOps practices and AI product life cycle development
Strong knowledge of modern data platforms, cloud architecture, analytics technologies, and generative AI infrastructure
Experience with AI governance frameworks, responsible AI practices, model evaluation, and safety/alignment considerations for production AI systems
Bachelor's Degree: Electrical Engineering, Computer Science or related field (Required)
Preferred
Master's Degree: MBA, Data Science, Computer Science, Engineering or related field (Preferred)
Company
ERCOT
The Electric Reliability Council of Texas (ERCOT) manages the flow of electric power to 24 million Texas customers.
501-1000 employees
H1B Sponsorship
ERCOT has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (15)
2024 (18)
2023 (17)
2022 (30)
2021 (19)
2020 (20)
Funding
Current Stage
Late StageLeadership Team
Pablo Vegas
President & CEO
Recent News
2025-11-08
2025-10-25
2025-09-28
Company data provided by crunchbase