Data Management Lead

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Compensation Grade

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. Please send resume to .