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AiDASH is a climate-tech company leading the PreventionFirst movement for electric utilities, using satellite, aerial, drone, and lidar data to deliver grid resilience and wildfire prevention intelligence. The company serves over 200 customers and has been recognized by Forbes as one of America's Best Startup Employers (4 consecutive years) and by TIME as a Top GreenTech Company (3 years running).
Data is central to AiDASH's business model and profitability. The satellite/aerial/drone/lidar data strategy determines the value delivered to customers and the efficacy of AI models, making it a critical cost and margin driver. AI Data Strategy is a newly established function that owns this responsibility, integrating customer, product, technical, and business requirements to determine what data AiDASH acquires, when, at what cost, and on what basis—often under conditions of uncertainty and competing priorities.
As Manager, AI Data Strategy, you will define the data strategy and lead the function's day-to-day decision process. You will also own the transformation of this into an agentic workflow in which AI agents recommend and route purchase decisions, with human review reserved for exceptions.
Key responsibilities:
- Define 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 (archive vs. new capture, satellite vs. aerial, vendors, 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
You will work cross-functionally with Customer Success, AI Data Ops, Data Science and R&D, Partnerships, Finance, Legal, Sales, and Product. You will draw on their inputs—including customer scope, vendor quotes, model requirements, contract terms, and actual costs—and provide clear order decisions, cost bands, forecasts, and root-cause analysis in return. You'll work closely with leadership to define the strategic direction for data at AiDASH.
This is an opportunity to build a function from its first quarter with direct visibility to leadership, own decisions that move gross margin, and ship one of AiDASH's first agentic business workflows.
REQUIREMENTS:
Must have:
- 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: ability to build a unit-cost model from scratch, deconstruct someone else's, and explain variance to 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
- Remote sensing background is not required
