Implementation & Transformation Leader - Life & Annuity, Insurance Platforms
ResponsibilitiesEnd-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.
Innovation & Continuous Improvement
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.
Production Stabilization & Escalation Management
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.
- 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.
Skills Required
- 20+ years of experience in enterprise architecture, engineering, or solution leadership within consulting, systems integration, or digital practices.
- Experience partnering with CIO, CTO, CDO, and other senior business executives.
- Experience with legacy policy administration systems and data-driven, AI-enabled enterprise solutions.
- Understanding of legacy systems, cloud migrations, integration frameworks, data fabric or mesh, and AI orchestration.
- Strong stakeholder management and executive communication skills.
- Familiarity with Generative AI, Agentic AI, intelligent automation, and AI governance frameworks.
- Experience managing global delivery teams and distributed engineering organizations.
- Experience establishing AI engineering practices, reusable frameworks, and innovation labs.
- Deep understanding of Third Party Administrator ecosystems across new business, underwriting, policy administration, billing, claims, disbursements, commissions, reinsurance, and regulatory reporting.
- Experience stabilizing complex multi-application production environments and reducing recurring defects and client escalations.
- Experience defining and executing consolidated technical strategies across heterogeneous application portfolios.
- Strong understanding of life insurance and annuity products, policy administration platforms, TPA implementation methodologies, and core business processes.
- Expertise in enterprise software delivery, solution architecture, system integrations, API-driven ecosystems, microservices, and cloud-native platforms.
- Experience leading enterprise and web application development using Service-Oriented Architecture and modern integration patterns.
- Ability to lead technical, design, development, QA, conversion, data migration, testing, deployment, and production cutover teams.
- Understanding of AI/ML, Generative AI, Agentic AI, intelligent automation, NLP, predictive analytics, and AI-driven transformation.
- Experience with AI solution lifecycle management, including design, deployment, monitoring, governance, and continuous improvement.
- Familiarity with MLOps, LLMOps, responsible AI, model governance, and enterprise AI adoption.
- Expertise in Agile, DevOps, CI/CD, cloud engineering, release management, and distributed systems architecture.
- Working knowledge of infrastructure including servers, AWS or Azure cloud, firewalls, load balancers, environments, and security considerations.
- Ability to evaluate technical architectures, implementation strategies, integrations, scalability, delivery risks, and solution feasibility.
- Strong program and portfolio delivery leadership across large-scale implementations, transformations, and modernization initiatives.
- Experience leading globally distributed engineering, architecture, implementation, and delivery teams in matrixed organizations.
- Commercial acumen involving 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 accountable technical leader across complex multi-application landscapes and create unified architecture and execution strategies.
- Strong incident, problem, escalation management, root-cause analysis, defect prevention, and production health governance capabilities.
- Deep working knowledge of TPA technology ecosystems and interdependencies between policy administration, ancillary, and integration applications.
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
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