IT Manager, Data Operation and Platforms

Job Description

• Lead the strategy, delivery, and evolution of enterprise data, analytics, and AI platforms supporting business‑critical functions.
• Oversee Dev Ops, data platforms, Cognite contextualization, and AI/ML solutions used across communications and finance teams, with planned expansion into midstream.
• Manage and mentor a blended team of 4–7 full‑time employees and 10–15 contractors, including senior technologists, architects, and platform leads.
• Drive the development of scalable, secure, and reusable data products using modern cloud platforms.
• Partner with business stakeholders and enterprise architects to translate business priorities into technical roadmaps and platform capabilities.
• Lead the design and implementation of RPA, Agentic AI, and AI/ML solutions, ensuring performance, reliability, and compliance.
• Establish best practices for Dev Ops, MLOps, monitoring, cost optimization, and incident management.
• Manage external partners and vendors while coaching internal teams on data platform best practices.
• Own team operations including staffing, performance management, budgeting, and delivery of projects on time and within budget.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• Bachelor’s degree in Computer Science, Engineering, Business, or a related field.
• 10+ years of diversified IT experience in data, analytics, or platform engineering environments.
• 3+ years of people leadership experience managing professional staff (non‑negotiable).
• Proven experience managing senior‑level team members (leads, architects, or managers).

• Azure Synapse
• Microsoft Purview
• Power BI
• Databricks

• Hands‑on leadership experience with Dev Ops and MLOps frameworks.
• Experience deploying and supporting AI/ML solutions in production environments.
• Strong ability to manage contractors, external partners, and cross‑functional stakeholders.
• Excellent communication, prioritization, and stakeholder management skills.
• Experience with Cognite data contextualization platform.
• Agentic AI expertise in some form Exposure to Agentic AI solutions.

• Experience leading Robotic Process Automation (RPA) initiatives.
• Knowledge of knowledge graph databases and industrial data use cases.
• Experience supporting regulated environments (e.g., SOX, FERC).
• Background in energy, manufacturing, or industrial enterprise environments.
• Experience scaling platforms across multiple business units or value chains.