Data Management Lead

INEOS USA OIL & GAS LLC

Houston (TX)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

INEOS USA OIL & GAS LLC is seeking a strategic Data Management Lead to define the operating model, governance framework, and delivery roadmap for enterprise data. This hands-on leadership role combines technical credibility with governance, security, and a programmatic approach to data engineering, analytics, and AI initiatives.

The ideal candidate has 10+ years in data architecture/engineering within upstream oil & gas, with proven experience in Snowflake, Microsoft Azure, and Power BI.

Qualifications

  • Bachelor of Science degree in Data Science or related field.
  • 10+ years of experience in data management, data architecture, or a related role, with upstream oil & gas focus.
  • Proven experience with Snowflake, Microsoft Azure, and Power BI.
  • Demonstrated leadership in establishing or improving data management, engineering, or analytics functions.
  • Previous team leadership including coaching, prioritization, workload management, and performance feedback.

Responsibilities

  • Develop and execute a comprehensive data management practice (operating model, governance, roadmap, standards, controls, resourcing).
  • Define roles, responsibilities, decision rights, and ways of working for data management across business, IT, and future data team members.
  • Foster a collaborative, transparent culture focused on data quality and disciplined delivery.
  • Develop standards, reusable patterns, and documentation for consistent execution.
  • Stay current with industry trends and integrate new technologies into the data strategy.
  • Design and implement scalable, secure data architectures using Snowflake, Azure, and Power BI.
  • Develop data models, schemas, pipelines, integrations, curated datasets, and semantic layers for BI/analytics/AI.
  • Ensure data integrity, security, and regulatory compliance.
  • Oversee Azure cloud deployments for data storage and processing.
  • Utilize Power BI to build interactive dashboards and reports for stakeholders.
  • Collaborate with IT and other departments to ensure integration and performance.
  • Ensure secure data access and integrations with cybersecurity resources.
  • Establish data governance processes (ownership, stewardship, definitions, quality, access controls, change control, escalation).
  • Implement data quality frameworks, monitoring, and remediation workflows.
  • Address data-related issues and provide ongoing support for data management best practices.
  • Translate business needs into technical solutions with a governed roadmap.
  • Communicate complex data concepts to technical and non-technical audiences.
  • Recruit, onboard, mentor, and lead data eng/analytics/AI resources as team grows.
  • Provide day-to-day prioritization, coaching, workload management, and performance feedback.
  • Manage relationships with external vendors/partners to support data initiatives.
  • Lead data projects from conception to execution with clear scope and timelines.
  • Manage budgets, resources, priorities and vendor support.

Skills

Data governance
Data architecture
Team leadership
Data engineering
Azure
Snowflake
Power BI
Stakeholder mgmt

Education

Bachelor of Science in Data Science

Tools

Snowflake
Azure
Power BI

Job description

Compensation Grade ONS-USD-35

We are seeking a strategic and forward-thinking Data Management Lead to play a pivotal role in shaping and advancing our data capabilities. This is a hands-on leadership role that combines technical credibility with strong managerial, governance, and delivery capability.

The position is accountable for defining the operating model for data management, establishing data governance and quality standards, partnering with IT on secure and scalable platform access, and leading planned data engineering, analytics, and AI resources as the team grows.

This role will ensure that trusted, well-governed data products are available to support upstream asset management, operations, production surveillance, planning, financial analysis, and executive reporting.

The ideal candidate will bring 10+ years of experience in data architecture, data engineering, or a related role, with a focus on the upstream oil and gas sector.

Primary Job Responsibilities
  • Develop and execute a comprehensive data management practice, including the operating model, governance framework, delivery roadmap, standards, controls, and resourcing plan.
  • Define clear roles, responsibilities, decision rights, and ways of working for data management across the business, IT, and future data team members.
  • Foster a collaborative, business-focused team culture that values transparency, data quality, continuous improvement, and disciplined delivery.
  • Develop practical standards, reusable delivery patterns, and documentation to enable consistent execution across the team.
  • Drive innovation by staying current with industry trends and integrating new technologies and methodologies into the data strategy.
  • Design and implement scalable, secure, and maintainable data architectures using Snowflake, Microsoft Azure, Power BI, and related tools.
  • Develop and manage data models, schemas, pipelines, integrations, curated datasets, and semantic layers that support business intelligence, analytics, and future AI use cases.
  • Ensure data integrity, security, and compliance with industry regulations and company policies.
  • Oversee the deployment and optimization of Microsoft Azure cloud services for data storage, processing, and management.
  • Utilize Power BI to create and maintain interactive dashboards and reports that provide actionable insights to stakeholders.
  • Collaborate with IT and other departments to ensure seamless integration and performance of data tools and platforms.
  • Work with IT and cybersecurity resources to ensure data access and integrations are secure, supportable, and consistent with company standards.
  • Establish and maintain practical data governance processes covering data ownership, stewardship, business definitions, data quality, access controls, change control, and issue escalation.
  • Implement data quality frameworks, monitoring practices, and remediation workflows to improve accuracy, completeness, timeliness, and reliability of critical dataset.
  • Address and resolve data-related issues and provide ongoing support for data management best practices.
  • Work closely with business leaders, internal users, analysts, and other stakeholders to understand data needs and translate them into technical solutions with a governed delivery roadmap.
  • Communicate complex data concepts and architectural designs, trade-offs, risks, and delivery progress effectively to both technical and non-technical audiences.
  • Recruit, onboard, mentor, and lead data engineering, analytics engineering, and AI resources as the data management team grows.
  • Providing day-to-day prioritization, coaching, workload management, and performance feedback for team members and supporting contractors or vendors.
  • Manage relationships with external vendors and partners as needed to support data initiatives.
  • Lead data and analytics projects from conception through execution, ensuring timely delivery and alignment with business objectives, clear scope, practical timelines, and sustainable support arrangements.
  • Manage budgets, resources, priorities and vendor support effectively to achieve project goals and maintain business confidence in the data management practice.
Education & Experience
  • Bachelor of Science degree in Data Science, Computer Science, Engineering Information Systems or related.
  • Minimum of 10 years' experience in data management, data architecture, data engineering, analytics or a related role, with a focus on the upstream oil and gas sector.
  • Proven experience with Snowflake, Microsoft Azure, and Power BI.
  • Demonstrated experience establishing, leading, or materially improving data management, data engineering, or analytics function.
  • Prior team leadership or direct management experience, including coaching, prioritization, workload management, and performance feedback.
  • Strong data governance experience, including data ownership, stewardship, business definitions, data quality, access controls, and change management.
  • Exceptional problem-solving abilities and a strategic mindset.
  • Strong communication skills, with the ability to articulate technical concepts to diverse audiences.
Application Deadline

Application Deadline: August 23, 2026

INEOS is a world class chemical company whose products touch every aspect of modern day life. Our company is comprised of 36 businesses with 194 sites in 29 countries throughout the world. We also have interests in consumer brands and sports on a global level. Safety is our number one core value. We also take pride in our culture of diversity, inclusion, sustainability and giving to the communities in which we live.

To learn more about our company and the story of our heritage, go to www.ineos.com.

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