Life and Annuity Application Data Architect

Accenture•St. Louis, MO

2d•$112,900 - $338,300

About The Position

Accenture is seeking a senior data architecture leader to serve as the product and architecture authority for ALIP data solutions. The role spans ALIP, ALIP Staging, Q&I, Digital Connect, reporting, analytics, integration solutions, and future AI-enabled capabilities. The architect will shape data solutions that are intuitive to consume, easy to extend, and aligned with the evolving needs of life insurance and annuity clients. The position owns the long-term data architecture vision and strategic roadmap for ALIP and ALIP Staging. It establishes architecture standards, principles, governance models, and review practices; improves the usability, consistency, completeness, and business value of data structures; and defines enhancements that simplify downstream data consumption. The role advises clients and supports strategic pursuits, helps clients integrate ALIP data assets into enterprise data strategies, and guides mapping to downstream systems and platforms. It also develops reusable frameworks and implementation patterns, turns recurring client challenges into roadmap improvements, and advances ALIP toward event-driven, CDC-based, streaming, and real-time data consumption. The architect partners with product, engineering, delivery, and client teams to improve scalability, maintainability, performance, and adoption. Travel may be required depending on business and client needs.

Requirements

At least 10 years of experience in Data Architecture, Information Architecture, Data Engineering, or Enterprise Architecture.
At least 6 years of experience designing enterprise data models and large-scale data platforms.
At least 5 years of experience with data warehouses, reporting platforms, operational data stores, and integration architectures.
Bachelor's degree or equivalent; alternatively, a minimum of 12 years of work experience. With an associate's degree, at least 6 years of work experience is required.
Strong understanding of API-based, event-driven, and distributed system architectures.
Experience defining data governance and metadata management strategies.
Strong communication, consulting, and stakeholder management skills.
Proven ability to drive strategic initiatives across product and delivery organizations.

Nice To Haves

Experience within Life Insurance and Annuities.
Knowledge of policy administration platforms and insurance operations.
Experience with cloud-native data platforms and modern analytics architectures.
Experience enabling AI or analytics use cases through governed, well-defined enterprise data assets.
External client-facing consulting experience and ability to operate across product, engineering, delivery, and senior stakeholder groups.

Responsibilities

Define and own the long-term data architecture vision across ALIP, ALIP Staging, Q&I, Digital Connect, reporting, analytics, and integration solutions.
Establish enterprise data architecture standards, principles, governance models, and architecture review practices for major ALIP data initiatives.
Own the strategic roadmap for ALIP and ALIP Staging, improving the usability, consistency, completeness, and business value of their data structures.
Define enhancements that simplify data consumption for reporting, integrations, analytics, regulatory reporting, data warehouses, and enterprise data platforms.
Serve as the primary ALIP data architecture advisor for client implementations and strategic pursuits.
Help clients understand and leverage ALIP data assets, including ALIP Staging, within their enterprise data strategies.
Guide clients and implementation teams in mapping ALIP data structures to downstream applications, data warehouses, data lakes, CRM platforms, regulatory reporting systems, finance systems, and analytics platforms.
Create reusable mapping frameworks, reference architectures, accelerators, and implementation patterns.
Identify recurring client data challenges and translate them into product roadmap improvements.
Lead the evolution of ALIP data architecture toward modern event-driven, CDC-based, streaming, and real-time consumption models.
Partner with product, engineering, delivery, and client teams to improve scalability, maintainability, performance, and ease of adoption.
Travel as required based on business needs and client requirements.