VP Implementation & Transformation Lead - Insurance Platforms

EXL; United States; On-site; USD 200,000 - 250,000; Full time

Job summary

EXL is seeking an Implementation & Transformation Leader for Life & Annuity, Insurance Platforms, guiding end-to-end programs from planning through deployment and adoption. You will shape architecture, governance, data migration, and AI-enabled transformations across LifePRO and TPA ecosystems.

You will partner with product, engineering, data, and AI teams to deliver measurable business outcomes, manage executive stakeholders, and drive delivery excellence with globally distributed teams and

Qualifications

• Extensive experience leading large, enterprise-scale transformation programs in Life & Annuity/TPA environments.
• Proven ability to partner with CIO/CTO/CDO and business executives on delivery strategy.
• Deep knowledge of legacy policy admin systems, data-driven AI solutions, and modern delivery practices.
• Strong grasp of cloud migrations, integration frameworks, data fabrics, and AI orchestration.
• Exceptional executive communication and stakeholder management across global teams.

Responsibilities

• Lead large LifePRO®, TPA, digital platform, and AI-enabled transformations from planning to adoption.
• Provide technical leadership across architecture, engineering, data migration, testing, and deployment.
• Embed automation, analytics, GenAI, and Agentic AI into programs to realize business outcomes.
• Manage client engagements, governance, risks, decisions, and objective realization.
• Build and lead high-performing, globally distributed teams with accountability and execution focus.
• Drive modern engineering practices, reusable frameworks, and delivery accelerators.
• Oversee data integration, platform modernization, and readiness across the client ecosystem.
• Define a consolidated solution strategy across diverse applications to unify roadmaps.

Skills

Life & Annuity knowledge

Enterprise architecture

AI governance

Stakeholder mgmt

Cloud platforms

Program leadership

Data migration

TPA ecosystem

Executive communication

Global delivery

Job description

Implementation & Transformation Leader - Life & Annuity, Insurance Platforms

End-to-End Implementation & Transformation Leadership

Lead large-scale LifePRO®, TPA, digital platform, and AI-enabled transformation programs from solution planning through deployment, stabilization, and business adoption.

Solution Delivery & Architecture Governance

Provide technical leadership across architecture, engineering, integrations, data migration, testing, release, and deployment to ensure scalable, secure, and high-quality solutions.

AI & Digital Solution Enablement

Partner with Product, Engineering, Data, and AI teams to embed automation, analytics, GenAI, and Agentic AI into implementation programs to drive measurable business outcomes.

Client Engagement & Delivery Governance

Serve as the senior delivery leader for strategic client programs, managing stakeholder relationships, governance, risks, decisions, and business objective realization.

Team Leadership & Delivery Excellence

Build and lead high-performing teams across implementation, engineering, architecture, data, QA, and program management, with a focus on accountability and execution excellence.

Drive innovation and operational excellence through modern engineering practices, reusable frameworks, emerging technologies, and delivery accelerators.

Data, Integration & Platform Modernization

Lead complex integrations, data conversion and migration, platform modernization, and implementation readiness across the client ecosystem.

Consolidated Solution & Technology Strategy

Define and own a single, consolidated solution and execution strategy across the multiple distinct applications and technologies that make up the LifePRO® and TPA ecosystem, eliminating fragmentation and aligning architecture, engineering, and delivery teams to one unified roadmap and execution plan.

Take ownership of recurring problem areas across the platform, lead root-cause analysis and permanent remediation, and establish proactive monitoring, defect-prevention, and escalation-management practices that measurably reduce production issues and client escalations.

Qualifications

• 20+ years in enterprise architecture, engineering, or solution leadership within consulting, SI, or digital practices.
• Experience partnering with senior client stakeholders including CIO, CTO, CDO, and business executives.
• Proven experience in legacy policy admin system, architecting data-driven, AI-enabled enterprise solutions, as well as adoption of standardized engineering and delivery practices
• Strong understanding of legacy system, cloud migrations, integration frameworks, data fabric/mesh, and AI orchestration.
• Strong stakeholder management and executive communication skills.
• Familiarity with Generative AI, Agentic AI, intelligent automation, and AI governance frameworks in enterprise environments.
• Background in managing global delivery teams and distributed engineering organizations.
• Experience establishing AI engineering practices, reusable frameworks, and innovation labs.
• Deep, hands-on understanding of how a Third-Party Administrator (TPA) ecosystem operates end-to-end across new business, underwriting, policy administration, billing, claims, disbursements, commissions, reinsurance, and regulatory reporting.
• Proven track record stabilizing complex, multi-application production environments and reducing recurring defects and client escalations.
• Experience defining and executing a consolidated technical strategy across a portfolio of distinct applications built on diverse, heterogeneous technologies.

Skills

• Strong understanding of Life Insurance and Annuity products, policy administration platforms, TPA implementation methodologies, and core business processes.
• Deep expertise in enterprise software delivery, solution architecture, system integrations, API-driven ecosystems, microservices, and cloud-native platforms.
• Experience leading development of enterprise and web applications using Service-Oriented Architecture (SOA) and modern integration patterns.
• Ability to lead senior technical, design, development, QA, conversion, data migration, testing, deployment, and production cutover teams.
• Strong understanding of AI/ML, Generative AI, Agentic AI, intelligent automation, NLP, predictive analytics, and AI-driven business transformation.
• Experience with AI solution lifecycle management, including solution design, deployment, monitoring, governance, and continuous improvement.
• Familiarity with AI engineering practices, MLOps/LLMOps, responsible AI, model governance, and enterprise AI adoption.
• Expertise in modern software engineering practices, including Agile, DevOps, CI/CD, cloud engineering, release management, and distributed systems architecture.
• Working knowledge of infrastructure, including servers, AWS and/or Azure cloud, firewalls, load balancers, environments, and security considerations.
• Ability to evaluate technical architectures, implementation strategies, integration approaches, scalability, delivery risks, and solution feasibility.
• Strong program and portfolio delivery leadership across multiple large-scale implementations, transformations, and modernization initiatives.
• Proven ability to lead globally distributed engineering, architecture, implementation, and delivery teams in matrixed organizations.
• Strong commercial acumen, including solution shaping, implementation planning, estimation, proposal support, and value realization.
• Exceptional executive communication, stakeholder management, client engagement, negotiation, and relationship-building skills.
• Ability to act as the single accountable technical leader across a complex, multi-application solution landscape, creating one unified architecture, integration, and execution strategy.
• Strong incident, problem, and escalation management capability, including root-cause analysis, permanent defect prevention, and production health governance.
• Deep working knowledge of the TPA technology ecosystem and the interdependencies between policy administration, ancillary, and integration applications.

The typical base pay range for this role across the U.S. is USD $200,000 - $250,000 per year.

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale.

Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position.

The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.