HR Tech Transformation Leader – AI & Digital Transformation

Sagility is a technology-enabled healthcare business process management company that partners with leading US health plans and providers to deliver operational excellence across member, provider and payment services. Our Bangalore technology hub drives the digital, data and AI capabilities that power our client transformation programs. We are building a culture of innovation where emerging technologies are applied pragmatically to deliver measurable business outcomes.
Role Summary:
We are seeking a bright, high-potential Tech Transformation Leader with 12–15 years of overall experience (minimum 5+ years in transformation / enterprise solutions) to lead our AI-led transformation agenda. The role owns end-to-end delivery of programs spanning user experience modernization, AI and Generative AI initiatives, agentic automation and the broader enterprise transformation journey. The ideal candidate combines hands-on transformation experience with strong commercial acumen, the ability to build compelling business cases, and the executive presence to influence senior stakeholders across business, technology and client organizations.
This is a hybrid role based in Bangalore, requiring three days per week from the office.
Key Responsibilities
1. AI Transformation Leadership
•Define and execute the enterprise AI transformation roadmap, aligning AI, Generative AI and machine learning initiatives with business strategy and client outcomes.
• Lead cross-functional programs from ideation through pilot, scale-up and operationalization,
ensuring measurable ROI and sustained adoption.
• Establish AI governance, responsible AI practices, model risk management and compliance
standards (including HIPAA and data privacy requirements) across all programs.
2. Innovation & Emerging Technology
• Continuously scan, evaluate and pilot emerging technologies (LLMs, multimodal AI, intelligent
document processing, conversational AI, low-code platforms) for applicability to healthcare
operations.
• Run structured proof-of-concept and rapid-prototyping cycles with clear success criteria, go/nogo
gates and learning capture.
• Build partnerships with technology vendors, hyperscalers, start-ups and academic institutions to
accelerate innovation.
3. AI Agents / Agentic Transformation
• Lead the design and rollout of AI agents and agentic workflows that automate complex, multi-step
business processes across claims, member services, provider operations and back-office functions.
• Define agent architecture patterns, orchestration frameworks, human-in-the-loop controls,
evaluation methods and guardrails for safe production deployment.
• Drive the shift from task automation to outcome-driven, autonomous process execution while
maintaining auditability and quality.
4. Enterprise Integration
• Own the integration strategy connecting AI and automation solutions with core enterprise
platforms (CRM, ERP, HR technology, claims platforms, contact center systems, data lakes and
APIs).
• Collaborate with enterprise architecture, data engineering and security teams to ensure scalable,
secure and interoperable solutions.
• Champion API-first, event-driven and cloud-native integration approaches.
5. Automation & Digital Transformation
• Lead end-to-end digital transformation programs including user experience redesign, process reengineering,
intelligent automation (RPA, IDP, workflow) and digital channel modernization.
• Partner with UX/design teams to deliver intuitive, accessible and data-driven experiences for
employees, clients and members.
• Institutionalize agile and product-centric delivery models, DevOps practices and value-based
measurement.
6. Transformation Business Cases
• Develop robust business cases covering investment, cost-benefit analysis, productivity gains,
revenue impact, risk and payback for transformation initiatives.
• Define KPIs, benefit-tracking mechanisms and value-realization dashboards; report progress
against committed outcomes to leadership.
• Support commercial teams in shaping client-facing transformation propositions and pricing
models.
7. Innovation Portfolio Management
• Manage the innovation and transformation portfolio: intake, prioritization, funding allocation,
stage-gating and retirement of initiatives.
• Balance quick wins with strategic bets; ensure resources are focused on the highest-value
opportunities.
• Maintain a transparent portfolio view with status, risks, dependencies and benefits for executive
review.
8. Executive Stakeholder Management
• Act as a trusted advisor to C-level and senior business leaders internally and at client
organizations; translate technology possibilities into business language.
• Facilitate steering committees, executive reviews and client transformation workshops; manage
expectations and drive timely decisions.
• Navigate organizational change, build consensus and secure sponsorship for transformation
initiatives.
9. Team Leadership
• Build, lead and mentor a high-performing team of program managers, AI/automation engineers,
solution architects, UX designers and business analysts.
• Foster a culture of experimentation, accountability, continuous learning and psychological safety.
• Define capability-building plans, upskilling programs and career paths for the transformation
organization.
Candidate Profile – Tech Transformation Profile
• 12–15 years of overall experience, with minimum 5+ years of relevant experience.
• Bright, high-potential technology leader with strong academic credentials, preferably from a
premier college/institute.
• Strong Enterprise/Solution background, ideally involving HR technology, BPO operations,
healthcare BPM or enterprise platforms.
• AI/GenAI project experience is a strong advantage, particularly experience taking AI initiatives
from PoC to implementation and adoption.
• BPO/Healthcare BPM experience preferred, especially candidates who understand HR solutions,
employee technology, operations transformation or process automation.
• Strong Digital Transformation experience, including automation, process re-engineering,
enterprise modernization and emerging technologies.
• Exceptional communication and articulation skills — confident with senior business and
technology stakeholders.
• Demonstrated ability to lead, motivate and inspire teams and drive cross-functional
transformation.
• Strong business acumen with the ability to connect technology initiatives to business outcomes
and ROI.
• Premium college / strong academic pedigree is an important selection criterion.
• Consulting, solutioning, product or client-facing transformation experience is an added advantage.
Technical & Domain Expertise (Desirable)
• Exposure to AI agent / agentic automation frameworks and platforms such as LangChain,
LangGraph, AutoGen, Semantic Kernel, Copilot Studio, Azure AI, AWS Bedrock or Google Vertex
AI.
• Knowledge of enterprise integration (APIs, microservices, iPaaS, event streaming) and cloud
platforms (Azure, AWS or GCP).
• Experience with intelligent automation platforms (UiPath, Automation Anywhere, Power
Automate) and UX-led digital product delivery.
• Ability to build and defend transformation business cases and manage innovation portfolios.
• Familiarity with responsible AI frameworks, data privacy regulations (HIPAA, GDPR) and AI risk
management.
• Certifications such as PMP, SAFe, TOGAF, PROSCI, or cloud/AI certifications (Azure AI Engineer,
AWS ML Specialty) are a plus.
• Bachelor's degree in Engineering, Computer Science or a related field; MBA or equivalent.

Work arrangement
Hybrid