Software Engineering Manager (Analytics & Innovation)

Marathon Petroleum Corporation•Findlay, OH

1d•Onsite

About The Position

Analytics & Innovation is on a mission to create trusted and reusable data products that connect our value chains and accelerate enterprise decision-making. Our data product strategy requires a modern, cloud-first platform that enables governed self-service, scalable analytics, and AI/ML use cases across the organization. Our Data Development and Analytics Platforms team develops and operates the enterprise data platform and shared services that power reporting, advanced analytics, and data products. As a Software Engineering Manager, you will lead a team responsible for building and evolving a modern Azure data ecosystem—centered on a Lakehouse approach (e.g., Delta Lake and Medallion patterns)—to deliver secure, reliable, and cost-efficient data at scale. You will partner with Data Science, Analytics, Product, Architecture, and Governance to establish platform standards (e.g., Microsoft Purview-enabled governance, CI/CD, and Infrastructure as Code) and ensure the platform continuously meets evolving business needs. This role is accountable for business results primarily achieved through the work of others, managing staff, setting direction, and deploying resources. It also holds responsibility for employee development, performance reviews, pay reviews, staffing decisions, and is accountable for business, functional or operational areas, processes, or programs.

Requirements

Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Engineering, Business, or other computer-related degree.
10+ years of diversified IT experience.
3+ years of direct or indirect leadership experience.

Responsibilities

Manages daily operations of the team, providing guidance, mentorship, and driving a culture of innovation and continuous improvement.
Oversees recruitment, development, retention, and performance to build strong talent.
Advance data engineering maturity by establishing standard practices across the team, such as design reviews, thorough documentation, and high code quality.
Develop templates and resources that allow teams to consistently produce reliable and maintainable data products.
Plans and leads low- to medium-complexity IT projects, ensuring they are delivered on time, within budget, and adhere to quality standards.
Ensures the availability, reliability, and security of technology systems.
Collaborates with key stakeholders and internal groups to identify needs, deliver effective solutions, and support business objectives.
Drives excellence in software delivery using agile methodologies and DevSecOps principles, ensuring fast, frequent, and secure product releases with operational excellence.
Responsible for developing and aligning engineering roadmaps with business objectives, participating in architectural discussions, and ensuring solution consistency across the organization.
Additionally, oversee the technical roadmap for the Data Engineering platform within the Azure analytics stack and establishes best-practice guardrails to maintain scalability and cost efficiency.
Communicates effectively with stakeholders at all levels, fostering feedback loops and providing clear updates on delivery progress, risks, and achievements.
Leads the team through change and transformation initiatives.
Manage budgets, track metrics, ensure compliance with IT policies and standards, and identify opportunities for technology adoption and process optimization.