Job Description

Position: Data & AI Platforms Manager

Location: onsite in San Antonio, TX, Houston, TX, Denver, CO, or Findlay, OH

Salary: $160,000-185,000/year (depending on years of experience and location) + 20% bonus

Required Skills & Experience:

• 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
• 5-7+ years of people management experience within a data/analytics environment overseeing engineers, leads, and/or architects)
• Strong background in cloud‑based data platforms, including: Azure Synapse, Microsoft Purview, Power BI, and/or Databricks
• Hands‑on leadership experience with DevOps 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

Nice to Have Skills & Experience:

• 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

Job Description:

• Lead the strategy, delivery, and evolution of enterprise data, analytics, and AI platforms supporting business‑critical functions.
• Oversee DevOps, 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 DevOps, 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.

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