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Open nowFirst seen 4 days ago

Director of Intelligence & Automation

Texas Petroleum Group55 open roles

Where
Houston, TX, USA
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Your applicationOpen nowDirector of Intelligence & AutomationTexas Petroleum Group · Houston, TX, USA

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 4 days ago

The posting

Company Overview:

Shell Mobility & Convenience proudly operates over 200 Timewise convenience stores and Shell gas stations in Texas and New Mexico. Our friendly team provides great customer service while supporting our employees with growth opportunities. Shell Mobility & Convenience is based in Houston, Texas and became part of the Shell Group in 2022. Join our friendly and hard-working Team!

Position Summary:

The Director of Intelligence & Automation is responsible for leading the enterprise data, analytics, AI, and automation strategy for Shell Mobility & Convenience. This role oversees data platform engineering, business intelligence, data governance, analytics, and AI capabilities to transform data into trusted insights, intelligent automation, and measurable business value. The Director partners closely with business and technology leaders to drive adoption, improve decision-making, and create scalable data products and automation solutions that support operational and financial performance.

Key Responsibilities:

Data Platform & Engineering

  • Lead the strategy, architecture, and operation of enterprise data platforms and pipelines.
  • Oversee data ingestion, quality, observability, accessibility, and platform performance.
  • Ensure scalable, reliable, and cost-effective data solutions that support business objectives.
  • Drive continuous improvement of data infrastructure and engineering standards.

Analytics & Business Intelligence

  • Lead business intelligence, reporting, semantic modeling, and self-service analytics capabilities.
  • Deliver timely operational and financial insights that support business decision-making.
  • Promote adoption of trusted reporting and enterprise data products.
  • Reduce duplication and improve standardization across reporting and analytics solutions.

AI & Automation

  • 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.
  • Drive adoption of automation opportunities that improve productivity and operational efficiency.

Data Governance & Compliance

  • 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.

Business Partnership & Value Creation

  • Partner with Finance, Operations, Marketing, Loyalty, Merchandising, Fuel, Wholesale, Human Resources, and other business functions.
  • Prioritize analytics, automation, and AI initiatives based on business value and strategic objectives.
  • Connect technology investments to measurable financial and operational outcomes.
  • Drive a product-oriented culture focused on reusable data assets and sustainable solutions.

Financial & Vendor Management

  • 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.
  • Ensure responsible stewardship of departmental resources and investments.

Physical/Cognitive Requirements:

  • 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.

Attendance/Schedule:

  • Standard business hours are Monday through Friday, with flexibility required based on business needs.
  • Occasional travel for business meetings, industry events, and partner engagements may be required.

Preferred Minimum Experience/Education:

  • Bachelor's degree in Information Technology, Computer Science, Data Analytics, Engineering, Business, or a related field.
  • Advanced degree preferred.
  • 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.
  • Experience with Databricks, Power BI, cloud data platforms, AI technologies, and automation solutions preferred.
  • Relevant cloud, analytics, AI, or data governance certifications are a plus.

Training Requirements:

  • Ongoing leadership and professional development.
  • Participation in data, analytics, AI, and technology training programs as required.
  • Completion of all required company compliance, cybersecurity, and governance training.
  • Continued education on emerging technologies, industry trends, and best practices.

Supervision:

  • Reports directly to the Chief Technology Officer.
  • Leads the Intelligence & Automation organization, including data platform engineering, analytics, business intelligence, AI foundations, automation, and data governance functions.
  • Oversees internal team members, strategic partners, and third-party vendors supporting data and analytics capabilities.

Physical Requirements:

  • Ability to lift up to 20 pounds.
  • Prolonged periods of sitting, standing, and computer use.
  • Ability to travel occasionally as business needs require.
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