Principal Responsibilities
The principal responsibility is to plan, execute, and govern HTCS AI transformation initiatives by contributing in the following areas:
1. Own and manage the HTCS AI Transformation program plan (scope, milestones, budget/benefits, dependencies, risks, and change impacts) and establish the governance cadence (steering committee, workstream reviews, and KPI reporting).
2. Drive implementation and scaled adoption of priority AI tools within HTCS (e.g., copilots, knowledge assistants, automation, analytics/ML solutions), ensuring alignment to business problems, data/security requirements, and user needs.
3. Build and maintain a prioritized AI use-case portfolio with SBG Engineering and HTCS function leaders; define value hypotheses, success metrics, and realization tracking (productivity, quality, cycle time, cost, and user satisfaction).
4. Lead the HTCS AI upskilling program end-to-end: training needs assessment, role-based curricula, learning pathways, communications, learning logistics, completion tracking, and effectiveness measurement.
5. Partner with HR/L&D to define AI capability frameworks and key AI roles across HTCS (e.g., AI Product Owner, Citizen Developer, Prompt Engineer, Data Steward, AI Champion) and embed them into talent processes (hiring, onboarding, performance and career paths).
6. Establish and run change management and communications to build AI culture (campaigns, showcases, communities of practice, office hours, playbooks, adoption toolkits) and drive engagement across all job levels.
7. Coordinate cross-functional readiness for AI deployments (IT, Cybersecurity, Legal, Data Privacy, Procurement, Finance) including access models, data governance, responsible AI controls, and operational support models.
8. Develop standard processes and templates for AI use-case intake, evaluation, delivery, and scaling (business case, data assessment, model/tool selection, validation, rollout, and sustainment).
9. Facilitate alignment between HTCS and SBG Engineering leaders on priorities, resourcing, and decision-making; prepare executive-level materials (status, risks, decisions required, benefits realized).
10. Track and report program health and adoption outcomes using dashboards (training completion, active users, usage patterns, NPS, productivity indicators) and drive corrective actions to ensure delivery.
11. Ensure knowledge transfer and long-term sustainment by establishing an AI community network, documenting standards, and enabling function owners to run AI tools and trainings as part of normal operations.
Principal Networks & Contact Links
- HTCS leadership team and function leaders; SBG Engineering leaders; AI/Digital leaders and product owners.
- HR / L&D leaders and training partners; change management and communications teams.
- IT, Cybersecurity, Legal, Data Privacy, Procurement, Finance, and other enabling functions supporting AI deployments.
Supervisory Responsibilities
- No direct reports; leads through influence in a matrix organization and coordinates cross-functional workstreams (AI tools, training, change management, governance) to deliver outcomes.
- Ability to mobilize stakeholders, facilitate decision-making, remove blockers, and ensure delivery across multiple sites and time zones.
Geographic Scope & Travel Requirements
The position is based out of Bangalore, India, and may require occasional travel to other HTCS and SBG Engineering locations globally as required.
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