IT Manager, Data & Analytics Platforms

Employment Type: Full-time

Position Overview

MPC is seeking an experienced and strategic IT Manager to lead our Data and Analytics Platforms Engineering team. This role is crucial for our mission to create trusted and reusable data products that connect our value chains and support our strategic commitments to the Data Development and Analytics Platform. Our vision emphasizes a full value chain mindset where trusted data assets fuel integrated value chains. This is an exciting and challenging opportunity to shape the future of data and analytics at MPC.

The Data Development and Analytics Platforms team is instrumental in developing, managing, and delivering high-quality, reusable data products that empower enterprise analytics and decision-making. As the Data Platforms Manager, you will spearhead the delivery, governance, and evolution of enterprise data and analytics platforms that underpin business-critical functions. This position ensures our platforms are scalable, secure, and aligned with evolving business needs. The ideal candidate possesses extensive experience managing modern cloud-based data platforms and a profound understanding of data management challenges and opportunities.

This role involves managing staff, setting strategic direction, and deploying resources. You will be accountable for employee development, performance reviews, pay reviews, and staffing decisions, as well as for business, functional, or operational areas, processes, and programs.

Key Responsibilities

• Platform Strategy & Development: Lead the strategy, development, and lifecycle management of data products and solutions on enterprise data and analytics platforms (e.g., Azure Synapse, MS Purview, Power BI, Databricks, Cognite).
• Capability Enhancement: Translate business priorities into scalable platform capabilities that enable advanced analytics, reporting, and AI/ML solutions.
• Data Integration: Collaborate with enterprise architects to design and evolve new data integration patterns with source systems (ERP, CRM, etc.), middleware, and downstream consumers (dashboards, data science) to effectively manage workloads.
• Automation (RPA & AI): Lead the design, development, and implementation of RPA and Agentic AI solutions to automate business processes. Ensure optimal performance and minimal downtime of RPA bots and AI agents. Collaborate with business stakeholders to identify automation opportunities, streamline workflows, and ensure compliance with security and regulatory standards.
• Cloud Operations & Contextualization: Manage the cloud-based Data Operations and Contextualization platform to support the development of use cases for business units. Utilize knowledge graph databases to unify, contextualize, and activate industrial data, ensuring seamless integration and real-time access to valuable insights.
• AI/ML & DevOps: Oversee the deployment and monitoring of AI/ML models and platforms, ensuring performance through the application of proven DevOps and MLOps frameworks.
• Project Leadership: Lead cross-functional projects to integrate AI/ML and RPA solutions into business operations. Develop project plans, communicate status, risks, and outcomes to stakeholders, working with a team of Technologists, Pipeline Automation Engineers, Platform Leads, Data Engineers, UI/UX developers, AI/ML engineers, data scientists, and RPA developers.
• Operational Excellence: Establish monitoring, cost optimization, reliability, and incident management processes for data and analytics pipelines and workloads. Ensure compliance with cybersecurity, data privacy, and regulatory requirements (e.g., FERC, SOX).
• Team & Partner Management: Manage external partners, contractors, and platform administrators. Coach internal teams on data platform best practices.
• Team Operations: Manage the day-to-day operations of a team of IT professionals, providing guidance, mentorship, and support to ensure assignments are completed in accordance with established guidelines.

Company Information

At MPC, we are committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.