Technical Program Manager - AI

This is a hands-on, high-ownership role — you will be expected to bring structure to ambiguity, move fast, and ensure AI initiatives don’t remain pilots but translate into real business value.\n\nResponsibilities\n\nSupport AI Programs End-to-End - Own delivery of AI/ML initiatives from use case definition to deployment and adoption. Define roadmaps, success metrics (business + model KPIs), and execution plans. Ensure AI solutions move beyond PoCs into scalable, production-grade systems\nLead analytics and AI/BI workstreams across enhancements, optimization, QA, and release management.\nTranslate business requirements into actionable delivery plans and scalable solutions - Work with business teams (sales, marketing, CX, operations) to identify high-impact AI opportunities.

Convert business problems into structured AI use cases (e.g., lead scoring, personalization, forecasting, automation). Collaborate with data science teams on feasibility, data requirements, and model.\nDrive stakeholder alignment across business, analytics, engineering, and reporting teams on solution design. Understand data pipelines, model lifecycle, and system integration challenges and ensure alignment between model development and production deployment\nOwn KPI governance, reporting logic validation, and dashboard/release readiness.\nProgram Leadership - Experience managing complex, cross-functional programs, ideally in data/AI domains o Strong execution discipline with Agile or hybrid delivery\nAI / Data Fluency (Must-Have) Strong conceptual understanding of AI/ML, data pipelines, and analytics.

Ability to work with data teams and understand model lifecycle (training, validation, deployment, monitoring)\nManage project cadence, risks, dependencies, executive updates, and delivery governance.\n\nSkills and Qualifications :\n8–12+ years in Technical Program Management / Consulting / Data / AI programs\nExperience delivering AI/ML or data-driven products/use cases in production\nStrong exposure to digital transformation initiatives\nExperience with GenAI / LLM use cases (chatbots, copilots, document automation, Agentic AI etc.)\nFamiliarity with cloud platforms (AWS, Azure, GCP) and data ecosystems\nExposure to tools like Power BI, Tableau, Snowflake, Databricks\nCertifications in AI, data, or program management\nExperience in real estate, customer platforms, or enterprise systems is a plus\nBackground in engineering, data, or analytics preferred