Manager - Data Science

Manager - Data Science

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.