Manager, AI Data Strategy

Overview

Define AiDASH's AI data strategy and lead the day-to-day data purchase decision process for the newly established AI Data Strategy function, including the transformation of that process into an agentic workflow.

What you'll do

• Define the AI data strategy across products and customer types.
• Drive every data purchase decision, approving orders that meet the bar on cost, customer needs and model fit.
• Evaluate sourcing options with AI Data Ops, such as archive vs. new capture, satellite vs. aerial, vendors and timing, and recommend the best fit.
• Lead monthly quote-to-actual analysis, identify root causes of variance, and drive revisions to cost bands and decision rules.
• Build multi-year data plans and the unit-cost models behind data pricing.
• Partner with Data Science and Engineering to define requirements for production tooling, and drive adoption across user teams.
• Design and prototype the agentic workflow by turning guidelines into machine-readable rules and piloting AI-assisted steps.

What you'll need

• MBA plus 5 to 6 years in management or analytics consulting, strategy and operations, procurement or sourcing strategy, or a commercial finance role at a B2B or SaaS company.
• Strong cost and commercial analysis, including building a unit-cost model from scratch, dissecting an existing one, and explaining a variance to its root cause.
• Advanced proficiency in Excel or Google Sheets and working knowledge of SQL.
• Demonstrated experience designing decision rules, thresholds, or approval workflows adopted by other teams.
• Regular use of AI tools, with at least one workflow automated, with or without code.
• Proven ability to influence without authority.
• Excellent written communication, with the ability to present a recommendation and its trade-offs concisely.

Nice to have

• Exposure to geospatial data or the utilities sector.
• Experience with Python or low-code automation tools such as n8n or Power Automate.
• Familiarity with vendor scorecards and BI tools.

Details

• Locations: Bengaluru, Karnataka, India; Gurugram, Haryana, India.
• A remote sensing background is not required.