Director of Intelligence & Automation

Shell Mobility and Convenience USA•Houston, TX

18h

About The Position

The Director of Intelligence & Automation leads Shell Mobility & Convenience’s enterprise data, analytics, AI, and automation strategy. The role oversees data platform engineering, business intelligence, data governance, analytics, and AI capabilities to turn data into trusted insights, intelligent automation, and measurable business value. The Director partners with business and technology leaders to encourage adoption, improve decision-making, and develop scalable data products and automation solutions that support operational and financial performance. The Director owns the Intelligence & Automation strategy, roadmap, budget, and resource planning, and manages platform economics, capacity planning, technology investments, and relationships with vendors and implementation partners. The role leads the Intelligence & Automation organization and oversees internal team members, strategic partners, and third-party vendors. The position reports directly to the Chief Technology Officer. Standard business hours are Monday through Friday, with flexibility based on business needs. Occasional travel may be required.

Requirements

Significant leadership experience in data engineering, analytics, business intelligence, AI, or automation.
Experience managing enterprise data platforms and production data environments.
Experience establishing data governance, stewardship, and quality programs.
Demonstrated success translating technical investments into measurable business value.
Strong leadership and organizational skills.
Excellent verbal, written, and executive communication abilities.
Strategic thinking with strong analytical and problem-solving capabilities.
Ability to lead cross-functional teams and influence stakeholders across all levels.
Strong understanding of data platforms, analytics, governance, AI, and automation technologies.
Ability to balance innovation with operational discipline and measurable business outcomes.
Financial acumen and portfolio management experience.
Ability to lift up to 20 pounds.
Ability to travel occasionally as business needs require.

Nice To Haves

Advanced degree.
Experience with Databricks, Power BI, cloud data platforms, AI technologies, and automation solutions.
Relevant cloud, analytics, AI, or data governance certifications.

Responsibilities

Lead the strategy, architecture, and operation of enterprise data platforms and pipelines.
Oversee data ingestion, quality, observability, accessibility, and platform performance.
Ensure data solutions are scalable, reliable, cost-effective, and aligned with business objectives.
Continuously improve data infrastructure and engineering standards.
Lead business intelligence, reporting, semantic modeling, and self-service analytics capabilities.
Deliver operational and financial insights to support business decision-making.
Promote adoption of trusted reporting and enterprise data products.
Reduce duplication and improve standardization across reporting and analytics solutions.
Develop enterprise AI and automation strategies that create measurable business value.
Establish reusable AI foundations, intelligent automation capabilities, and governed experimentation practices.
Support implementation of AI-enabled solutions, intelligent agents, and machine learning initiatives.
Promote automation opportunities that improve productivity and operational efficiency.
Establish data ownership, stewardship, governance standards, and quality expectations.
Ensure data management practices support security, privacy, compliance, and operational requirements.
Maintain controls related to access management, model risk, and responsible data use.
Partner with business functions to improve data quality and accountability.
Partner with Finance, Operations, Marketing, Loyalty, Merchandising, Fuel, Wholesale, Human Resources, and other business functions.
Prioritize analytics, automation, and AI initiatives according to business value and strategic objectives.
Connect technology investments to measurable financial and operational outcomes.
Promote a product-oriented culture focused on reusable data assets and sustainable solutions.
Own the Intelligence & Automation strategy, roadmap, budget, and resource planning.
Manage platform economics, capacity planning, and technology investments.
Develop and maintain relationships with technology vendors, implementation partners, and data communities.
Steward departmental resources and investments responsibly.
Lead the Intelligence & Automation organization, including data platform engineering, analytics, business intelligence, AI foundations, automation, and data governance functions.
Oversee internal team members, strategic partners, and third-party vendors supporting data and analytics capabilities.
Participate in ongoing leadership and professional development, required technology training, and company compliance, cybersecurity, and governance training.
Continue education on emerging technologies, industry trends, and best practices.