Manager - Data Science

Our core values — Stewardship, Character, Collaborate, Learn, Disrupt — are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors. We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger. Job Summary Expand Energy is seeking a Data Science Manager to lead the Data Science team and serve as the primary delivery leader within the Fusion Team operating model. This role converts business opportunities into production-grade AI, machine learning, and advanced analytics solutions that deliver measurable enterprise value. The manager leads a multidisciplinary team while partnering closely with business stakeholders, Digital Advancement, IT, and the AI Platform organization. Job Duties & Responsibilities Delivery Leadership & Execution Lead the delivery of AI, machine learning, and advanced analytics initiatives from concept through production deployment Own and maintain a prioritized backlog aligned to business objectives and enterprise AI priorities Facilitate planning, work prioritization, sprint execution, reviews, and retrospectives Manage resource allocation and delivery capacity across multiple business domains and competing priorities Maintain visibility into project status, milestones, dependencies, risks, and issues Proactively remove obstacles and coordinate cross-functional teams to ensure predictable delivery Technical Leadership & Model Lifecycle Management Ensure AI, machine learning, and analytics solutions adhere to established development, testing, deployment, and governance standards Promote disciplined software engineering and MLOps practices, including source control, peer review, testing, and deployment controls Champion reproducibility, model quality, and operational excellence across delivered solutions Partner with technical leads and architects on solution design while avoiding becoming a bottleneck for technical decisions Oversee model performance after deployment and drive remediation for drift, degradation, or technical debt Business Value Realization Partner with business leaders to translate strategic opportunities into practical AI and analytics solutions Ensure initiatives are aligned to measurable business outcomes and expected value realization Manage stakeholder expectations, scope, priorities, and delivery commitments Ensure technical solutions are documented, maintainable, and positioned for sustainable business adoption Contribute delivery metrics and performance insights that support leadership reporting and value measurement Governance, Risk & Responsible AI Ensure data usage and model development comply with company policies and governance requirements Embed responsible AI practices, model transparency, and documentation standards into day-to-day delivery Identify and escalate risks related to model performance, data quality, security, compliance, and ethical AI considerations Promote governance as an integrated part of delivery rather than a downstream approval activity People Leadership & Talent Development Lead, coach, and develop a team of data scientists and data engineers Create opportunities for mentorship, technical growth, and cross-functional learning Foster an environment of collaboration, innovation, ownership, and continuous learning Cross-Functional Leadership & Enterprise Collaboration Lead Fusion Teams consisting of business stakeholders, Digital Advancement resources, and IT partners Drive alignment across technical and business teams through shared goals, priorities, and accountability Collaborate with enterprise platform teams on infrastructure, data architecture, and reusable capabilities Promote knowledge sharing, best practices, and enterprise-wide adoption of proven AI and analytics patterns Coordinate effectively with external vendors, implementation partners, and consulting resources when needed Job Specific Skills Experience delivering production AI/ML solutions and data products in a business environment, required Strong understanding of data engineering, machine learning lifecycle management, and software development practices, required Experience leading cross-functional projects involving business stakeholders, technology teams, and external partners, required Strong communication, stakeholder management, and organizational leadership skills, required Demonstrated ability to balance strategic priorities with day-to-day execution, required Education Minimum: Bachelor’s degree - from accredited university - Data Science, Computer Science, Engineering, Statistics, Mathematics, or related field Experience Minimum: 8 years related work experience in data science, machine learning, analytics, or related disciplines 3+ years of experience leading technical teams and managing direct reports Additional Qualifications Advanced degree in Data Science, Computer Science, Statistics, Engineering, or related discipline, preferred Experience with Azure, Snowflake, Git-based development workflows, DevOps pipelines, and modern MLOps practices, preferred Experience operating in an Agile delivery environment, preferred Oil and gas industry experience or experience supporting complex industrial operations, preferred Experience building and scaling AI products from pilot through enterprise deployment, preferred Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law. Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States. Nearest Major Market: Oklahoma City Nearest Secondary Market: Oklahoma Job Segment: Test Engineer, Data Management, Computer Science, Testing, Sustainability, Engineering, Data, Technology, Energy