Jobs · Engineering · Texas

Data Science Consulting Partner

Tata Consultancy Services · Dallas, TX · 2 days ago
EngineeringFull-time

About the role

The Consulting Partner will lead AI-driven transformation initiatives for North American Utilities clients. This role targets senior practitioners with deep strategic advisory experience, strong technical credibility, and a proven track record of building and scaling AI teams and solutions. Candidates who have led AI departments, Centers of Excellence, or founded / operated AI-focused companies will be given strong preference.

Responsibilities

  • Define and lead AI & GenAI strategy for electric, gas, and water utilities
  • Advise CIO, CTO, CDO, and business leaders on AI-led operating model transformation
  • Architect and deliver end-to-end AI and GenAI solutions from concept to production
  • Lead large-scale AI programs across grid operations, asset management, customer operations, and energy transition
  • Establish AI governance, Responsible AI, and regulatory compliance (e.g., NERC CIP)
  • Build and scale AI teams, Centers of Excellence, and reusable accelerators
  • Support pre-sales, RFPs, executive solutioning, and strategic pursuits

Skills

  • AI / ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face
  • Generative AI & LLMs: GPT, Claude, Llama, Gemini; prompt engineering and agentic architectures
  • Cloud AI Platforms: Azure Machine Learning, Azure OpenAI, AWS SageMaker & Bedrock, Google Vertex AI
  • MLOps: CI/CD pipelines, model monitoring, governance, retraining, and security
  • Data Platforms: Databricks, Snowflake, cloud-native data lakes
  • Utility Systems & Data: SCADA, AMI, OMS, GIS, DERMS, EAM

Qualifications

  • Former Head of AI, Chief AI Officer, AI Practice Leader, or AI Startup Founder
  • Experience running AI departments, AI CoEs, or small AI-focused companies
  • Proven record of building AI teams and scaling production-grade AI solutions
  • Prior consulting experience with North American utilities
  • Certifications: Relevant Certifications In AI/ML And Cloud Platforms – Azure AI Engineer Associate, AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer, Certifications in Generative AI tools
  • Education: Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related field (Master’s or PhD preferred)

Pay

Salary Range: 210,000-284,100 a year

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