AI/ML Execution Program Manager

Tata Consultancy Services Ltd

  • Santa Clara, CA
  • 30+ days ago
  • $90,000–$120,000 Per Year

Highlights

The ideal candidate will bridge the gap between data science, engineering, and business stakeholders, ensuring successful delivery of AI/ML programs-from problem definition and dataset modeling to model deployment and operationalization. This role requires a strong blend of technical expertise in machine learning, data modeling, and dataset engineering, combined with program management excellence to deliver scalable AI solutions.

Numbers & Facts

LocationSanta Clara, CA
Salary$90,000–$120,000 Per Year

Description

  1. We are seeking an experienced AI/ML Execution Program Manager to drive end-to-end execution of AI/ML initiatives across cross-functional teams. This role requires a strong blend of technical expertise in machine learning, data modeling, and dataset engineering, combined with program management excellence to deliver scalable AI solutions.

  2. The ideal candidate will bridge the gap between data science, engineering, and business stakeholders, ensuring successful delivery of AI/ML programs-from problem definition and dataset modeling to model deployment and operationalization

Must Have Technical/Functional Skills:

  • Strong analytical and problem-solving skills
  • Ability to translate between technical and non-technical stakeholders
  • Excellent communication and stakeholder management
  • Data-driven decision-making mindset
  • Strong ownership and execution focus

Roles & Responsibilities:

  1. AI/ML Program Execution
  • Lead execution of AI/ML programs and projects from ideation through deployment and monitoring
  • Define program scope, milestones, deliverables, timelines, and success metrics
  • Drive alignment across data science, UI, API & data engineering, product, and business teams
  • Ensure adherence to ML lifecycle best practices (MLOps) including experimentation, model training, validation, and deployment
  1. Dataset Modeling & Data Strategy
  • Define and oversee dataset modeling strategies to support AI/ML use cases
  • Partner with data engineering teams to design:
  • Data schemas
  • Feature stores
  • Data pipelines and transformations
  • Ensure datasets are:
  • High-quality, labeled, and version-controlled
  • Representative and unbiased
  • Compliant with governance and privacy standards

Salary Range: $90,000 - $120,000 a year

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