Manager Strategic Projects India

Handshake Handshake · Enterprise · India · HAI Delivery Ops

Manager for a team of Strategic Project Leads (SPLs) focused on AI data and evaluation projects. The role involves leading delivery, quality, and scalability, managing a team, translating needs into project plans, owning performance metrics, and partnering with Product and Engineering. The role operates in a high-pressure, fast-changing environment with a focus on operational excellence and continuous improvement in AI data pipelines and labeling workflows.

What you'd actually do

  1. Leading and managing a team of SPLs across multiple complex AI data and evaluation projects, ensuring clarity of ownership, priorities, and execution.
  2. Work closely with global teams and stakeholders across time zones. This role will primarily operate in a 2 PM - 2 AM IST working window based on business and delivery requirements.
  3. Driving on time, high quality delivery across custom data pipelines and expert labeling workflows, with a sharp focus on throughput, quality, and cost.
  4. Translating researcher and customer needs into clear project plans, scopes, and operational workflows that SPLs and Fellows can execute.
  5. Owning performance metrics across your portfolio, including quality, throughput, SLAs, utilization, and margin, and using data to drive continuous improvement.

Skills

Required

  • 7+ years in operationally intensive roles such as marketplace operations, data operations, strategy and operations.
  • 2+ years managing high performing teams in fast paced, execution focused environments.
  • Experience leading complex, multi stakeholder projects from definition through delivery, ideally with AI, data, or technical workflows.

Nice to have

  • Prior experience in investment banking, private equity or management consulting strongly preferred.
  • Background in AI data operations, ML ops, or technical services is a strong plus.

What the JD emphasized

  • AI data and evaluation work
  • custom data pipelines and expert labeling workflows
  • AI data operations, ML ops, or technical services

Other signals

  • leading AI data and evaluation work
  • driving on time, high quality delivery across custom data pipelines and expert labeling workflows
  • translating researcher and customer needs into clear project plans
  • owning performance metrics across your portfolio
  • partnering with Product and Engineering to evolve internal tooling, workflows, and systems