EYEY - GDS Consulting - AI And DATA - AI Cloud Arch - Senior Manager
About this role
Key Responsibilities
- Define and execute enterprise-wide Data, Analytics & AI strategies aligned to business objectives and transformation priorities.
- Lead large-scale initiatives spanning:
- Data Strategy & Roadmaps
- Data Architecture & Modernization
- Data Governance & Data Quality
- Data Integration, Conversion & Migration
- Enterprise Reporting & Business Intelligence
- Advanced Analytics & AI Enablement
- Data Platforms & Cloud Transformation
- Design and implement scalable insurance data ecosystems, analytical platforms, KPI frameworks, reporting solutions, and AI-ready data foundations.
- Drive insurance data modernization programs involving legacy transformation, cloud migration, enterprise data platforms, and next-generation analytics solutions.
- Advise clients on target-state operating models, transformation roadmaps, data operating frameworks, and strategic investments in Data, Analytics, and AI.
- Lead complex programs from strategy through execution, ensuring governance, financial management, risk mitigation, stakeholder alignment, and successful business outcomes.
- Partner closely with business and technology stakeholders to deliver measurable value through data-driven initiatives.
- Contribute to business growth through solution development, pursuit support, proposal leadership, and account expansion activities.
- Build and scale reusable accelerators, frameworks, industry solutions, and best practices that enhance delivery effectiveness and client value.
- Mentor and develop high-performing teams while strengthening organizational capabilities across Data, Analytics, Cloud, and AI.
Insurance Domain Expertise
Candidates must possess strong functional knowledge across the insurance value chain, including:
- Underwriting
- Policy Administration
- Claims Management
- Billing & Collections
- Reinsurance
- Actuarial Functions
- Finance & Regulatory Reporting
- Distribution & Agency Operations
- Risk & Compliance Management
The candidate should have a deep understanding of insurance data models, business metrics, operational reporting, analytical reporting, regulatory requirements, and performance management practices.
Experience & Qualifications
- 18+ years of overall experience with 10-12+ years in the Insurance industry, preferably Life Insurance.
- Strong understanding of insurance business processes, operational models, regulatory frameworks, and industry data ecosystems.
- Experience supporting modernization programs involving core insurance platforms, data migration, data conversion, enterprise reporting, and analytics transformation.
- Familiarity with leading insurance platforms, industry data models, integration frameworks, and insurance technology ecosystems is highly desirable.
- Proven experience leading and managing large-scale Insurance Data, Analytics & AI Managed Services engagements, with accountability for service delivery, SLAs, operational performance, governance, and continuous improvement.
- Experience establishing and scaling global delivery models across onshore, offshore, and nearshore teams while ensuring high-quality, cost-effective service delivery.
- Strong understanding of production support and managed services operations, including incident management, problem management, service request fulfilment, release support, change management, and operational reporting
Technology & Data Expertise
Strong experience across:
- Enterprise Data Strategy & Governance
- Data Modeling & Master Data Management
- Data Warehousing & Lakehouse Architectures
- Cloud Data Platforms (Azure, AWS, GCP)
- Enterprise Reporting & Business Intelligence
- Advanced Analytics & Data Science
- AI/ML Solutions and Intelligent Data Products
- Semantic Data Layers and Data Fabric Architectures
- Data Integration and API-led Ecosystems
AI & Innovation Leadership
The ideal candidate should demonstrate experience driving innovation through:
- Generative AI
- Agentic AI
- Decision Intelligence
- Knowledge Models
- Intelligent Data Products
- Predictive & Prescriptive Analytics
- AI-powered Business Intelligence and Automation
Experience applying these capabilities to improve productivity, operational efficiency, customer experience, risk management, and business decision-making within insurance organizations is highly desirable.
Leadership & Consulting Skills
- Executive stakeholder management and relationship-building capabilities.
- Strong consulting, advisory, and problem-solving skills.
- Experience conducting business capability assessments and defining transformation strategies.
- Ability to engage effectively with C-suite executives, business leaders, and technology stakeholders.
- Proven track record of influencing strategic decisions and driving enterprise-wide transformation initiatives.
What Success Looks Like
The successful candidate will be recognized as a trusted Insurance Data & AI leader who combines deep insurance domain expertise, technology leadership, consulting excellence, and large-scale program delivery experience to help organizations unlock business value, accelerate modernization, and build data-driven enterprises.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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