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Manager, AI Data Strategy

aidashinc · Bengaluru, Karnataka, India; Gurugram, Haryana, India · Gurugram, Haryana, India
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<div class="content-intro"><p><strong>About AiDASH</strong><br><br><span data-teams="true">AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid.</span> Learn more at <a href="https://www.aidash.com." target="_blank">www.aidash.com.</a></p> <p><span data-contrast="auto">The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. </span><a href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/topics/north-america-technology-fast-500.html?utm_source=bngaiwebsite&utm_medium=referral&utm_campaign=evolve-banner"><span data-contrast="none"><span data-ccp-charstyle="Hyperlink">Deloitte Technology Fast 500</span></span></a><span data-contrast="auto">™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024.</span><span data-ccp-props="{"335551550":0,"335551620":0}"> </span></p> <p><span data-contrast="auto">Join us in Securing Tomorrow Together!</span><span data-ccp-props="{"335551550":0,"335551620":0}"> </span></p></div><p><span data-contrast="auto">Data is central to AiDASH's business. The satellite / aerial / drone / lidar data and the strategy that governs it, determines the value delivered to customers and the efficacy of AI models that can be developed. This sets the company's most significant cost and margin drivers, making disciplined and efficient decision-making critical to business performance. AI Data Strategy is a newly established function that owns this data strategy. It integrates 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.</span><strong> </strong><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":0,"335559739":90}"> </span></p> <p><strong><span data-contrast="auto">As Manager, AI Data Strategy, you </span></strong><span data-contrast="auto">will define the data strategy and lead the function's day-to-day decision process. You will also own transformation of this into an agentic workflow in which AI agents recommend and route purchase decisions, with human review reserved for exceptions.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":0,"335559739":90}"> </span></p> <p><strong><span data-contrast="auto">What you’ll do:</span> </strong></p> <ul> <li><span data-contrast="auto">Define the AI data strategy, across products and customer types</span></li> <li><span data-contrast="auto">Drive every data purchase decision, approving orders that meet the bar on cost, customer needs and model fit.</span></li> <li><span data-contrast="auto">Evaluate sourcing options with AI Data Ops, such as archive vs. new capture, satellite vs. aerial, vendors and timing, and recommend the best fit.</span></li> <li><span data-contrast="auto">Lead monthly quote-to-actual analysis, identify root causes of variance, and drive revisions to cost bands and decision rules.</span></li> <li><span data-contrast="auto">Build multi-year data plans and the unit-cost models behind data pricing.</span></li> <li><span data-contrast="auto">Partner with Data Science and Engineering to define requirements for production tooling, and drive adoption across user teams.</span></li> <li><span data-contrast="auto">Design and prototype the agentic workflow by turning guidelines into machine-readable rules and piloting AI-assisted steps.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559685":540,"335559737":0,"335559738":0,"335559739":0,"335559991":270}"> </span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Who </span><span data-ccp-parastyle="heading 2">you'll</span><span data-ccp-parastyle="heading 2"> work with</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"335551550":0,"335551620":0,"335559738":150,"335559739":70}"> </span></p> <p><span data-contrast="auto">You'll work with Customer Success and engagement managers, AI Data Ops, Data Science and R&D, Partnerships, Finance, Legal, and 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 the leadership to define the strategic direction for data in Aidash.</span><span data-ccp-props="{"13

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