Technical Product Lead

• Technical Product Lead – Enterprise Platform & Workflow Delivery
• Location: Gurgaon, India | Experience: 12+ Years
• About the Role

Were seeking a Technical Product Lead to drive delivery of an in-house enterprise platform spanning Palantir Foundry, ServiceNow, and integrated enterprise tools. Youll translate business requirements into precise technical specifications, partner with developers, architects, Foundry specialists, and data teams to deliver scalable applications, and challenge solution designs to ensure they meet business needs across our multi-tool platform landscape

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• Key Responsibilities
• Platform Strategy & Product Delivery

• Translate platform strategy into scoped releases with PRDs, user stories, acceptance criteria, and release plans
• Lead structured product discovery to validate user needs, business value, data readiness, and technical feasibility
• Drive outcome-based trade-off decisions across product, engineering, data, ServiceNow, and Foundry teams
• Maintain a prioritized, execution-ready backlog with precise, testable requirements

Solution Design & Architecture

• Shape end-to-end solution design across ontology, workflows, integrations, APIs, access controls, and support mode
• Guide Foundry ontology architecture, object models, Pipeline Builder, Workshop applications, and production governance
• Define ServiceNow integration requirements: case management, approvals, task routing, notifications, and operational handoffs
• Ensure solutions meet enterprise standards for identity, access control, security, logging, auditability, and production support

Data, Integration & Technical Requirements

• Define business and technical expectations for data modeling, governance, security, and consumption across workflows and reporting
• Validate technical specifications, API designs, data mappings, integration dependencies, and release readiness
• Challenge weak designs, unclear requirements, and delivery plans to mitigate execution risk
• Ensure platforms are governed, observable, supportable, and aligned with enterprise standards

Delivery Governance & Operations

• Drive disciplined delivery across discovery, design, backlog management, development, testing, deployment, and stabilization
• Govern backlog health, dependencies, risks, and stakeholder decisions to keep releases focused and transparent
• Define release readiness, UAT, cutover, training, adoption, and Day 2 operating requirements
• Build sustainable internal capability across Foundry, ServiceNow, data products, and support

Required Qualifications

• 12+ years in technical product management, solution architecture, software engineering, data engineering, or enterprise platforms
• 3+ years direct product ownership experience with PRDs, roadmaps, backlog prioritization, and release planning
• Expert-level Palantir Foundry experience (3–5+ years): ontology architecture, object types, Pipeline Builder, Code Workbooks, Workshop applications, write-back governance, lineage, permissions, and production support
• Strong ServiceNow knowledge: case/request management, workflow configuration, approvals, task routing, integrations, and support models
• Technical depth: backend systems, APIs, data modeling, SQL, data pipelines, semantic layers, cloud systems, and modern application design
• Bachelors degree in Computer Science, Engineering, Information Systems, or equivalent hands-on platform experience
• Ability to write clear, unambiguous requirements that engineering teams can build and test
• Strong judgment balancing technical constraints, business needs, governance, timelines, and scalability
• Excellent communication and organizational skills across technical and non-technical audiences

Technical Expertise

• Palantir Foundry: ontology design, object/link/action types, functions, interfaces, Pipeline Builder, Workshop apps, lineage, access controls, write-back governance, production readiness
• ServiceNow & enterprise workflows: case management, approvals, notifications, forms, role-based access, integrations
• Data platforms: semantic layers, structured data, data modeling, pipelines, data quality, KPIs, access controls, observability
• Integration architecture: APIs, enterprise system integrations, identity management, UAT, production stabilization
• Optional: AI-enabled capabilities (natural language, guided insights, automation) — a Plus

Preferred Experience

• Building internal enterprise tools, Foundry-led platforms, ServiceNow-enabled workflows, or KPI-heavy operating systems
• Designing ontology-led operating models with governed workflows, operational write-back, and Foundry-ServiceNow integration
• Vendor/procurement domain experience or internal platform delivery for operations, finance, or commercial teams.
• Production-scale platform delivery with strong ownership and adoption metrics