What are the responsibilities and job description for the Data & AI Platforms Manager position at Insight Global?
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.
Salary : $160,000 - $185,000