Data Management Lead

INEOS; Georgia; On-site; USD 140,000 - 200,000; Full time

Job summary

INEOS is seeking a Data Management Lead to shape the data capabilities across upstream operations. You will lead governance, architecture, and delivery, partnering with IT, security, and analytics teams to ensure trusted data products for asset management, operations, planning, and executive reporting.

With 10+ years in data roles within oil and gas, you will drive a scalable data platform strategy, manage data models and pipelines, and mentor a growing team of data engineers and analytics

Qualifications

• Bachelor's degree in Data Science, Computer Science or related field.
• 10+ years in data management, data architecture, or analytics in upstream oil & gas.
• Proven experience with Snowflake, Azure, and Power BI.
• Demonstrated leadership in building data functions and governance.
• Strong communication and collaboration across business and IT.

Responsibilities

• Develop and implement a data management operating model and governance.
• Define roles, decision rights, and ways of working for data management.
• Foster a transparent, quality-driven data culture and delivery discipline.
• Create standards, reusable patterns, and documentation for data work.
• Stay current with industry trends and integrate new data tech.
• Design scalable, secure data architectures using Snowflake/Azure/Power BI.
• Manage data models, pipelines, datasets, and semantic layers for BI/AI.
• Ensure data integrity, security, and compliance with policies.
• Oversee Azure cloud deployments for storage and processing.
• Use Power BI to build dashboards and actionable insights.
• Collaborate with IT and other departments for seamless tool integration.
• Coordinate with cybersecurity to secure data access and integrations.
• Establish data governance: ownership, stewardship, quality, access, change control.
• Implement data quality monitoring and remediation workflows.
• Address data-related issues and support governance best practices.
• Translate business needs into technical solutions with a governed roadmap.
• Communicate architectures and delivery progress to technical and non-technical audiences.
• Recruit, mentor, and lead data engineering, analytics, and AI resources.
• Prioritize work, coach team members, and manage contractors/vendors.
• Engage external vendors as needed to support data initiatives.
• Lead data projects from conception to delivery with clear scope and timelines.
• Manage budgets, resources, and vendor partnerships to maintain confidence.

Skills

Data governance

Data architecture

Data engineering

Leadership

Stakeholder management

Analytics

Cloud platforms

Education

Bachelor's degree in Data Science/CS/Engineering

Tools

Snowflake

Microsoft Azure

Power BI

Job description

Excited to grow your career?

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions.

Our people make all the difference in our success.

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

• Please note that applications received after the deadline will not be considered. Only resumes of candidates being considered will be acknowledged.