Head, Data & AI Platforms and Architecture

Unum Group

Confirmed live today High trust
Closes in 4 days

Quick summary

Work type
On-site
Location
Atlanta, GAChattanooga, TNPortland, ME
Salary
$163,700–$336,000 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today
Closes
Oct 31, 2026 (soon)

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $250k
$137k $357k
below market most similar roles pay here above market

This role pays more than 74% of similar roles. Most pay $170,550–$254,750 — the blue band above. At the midpoint, this role pays about $250k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About Unum Group

Unum Group is a leading provider of employee benefits and insurance solutions including disability, life, accident, critical illness, and dental/vision coverage for the workplace. Industry: Insurance & Employee Benefits

Unum Group currently has 11 open roles on FindRole.

Listed pay typically runs $133,500–$274,100 across 5 roles with salary data.

Most-posted roles

View all roles at Unum Group

At a glance

TL;DR · Head, Data & AI Platforms and Architecture

JOB TITLE: Head, Data & AI Platforms and Architecture The Head, Data & AI Platforms and Architecture serves as the single accountable executive for the technology foundation supporting enterprise data, analytics, and AI ambitions. This leader owns the strategy, architecture, and governance of data platforms, agentic AI, and business intelligence systems. Key responsibilities include defining multi-year lakehouse architectures, managing cloud consumption via FinOps, and leading the migration from legacy on-premises warehouses to modern cloud environments. The role requires establishing reference architectures for ingestion, storage, and orchestration while building technical control planes for Responsible AI. Candidates must possess expertise in Databricks, Snowflake, and Microsoft ecosystems, alongside experience with MLOps, LLMOps, and semantic layers. This position solves complex data fragmentation and regulatory compliance challenges within the insurance and financial services domains.

What you'll do

  • Define and own the multi-year enterprise data platform strategy, including lakehouse architecture and migration roadmaps.
  • Establish and enforce reference architectures for data ingestion, storage, transformation, orchestration, and serving.
  • Provide shared frameworks, CI/CD pipelines, and reusable components for business-aligned data engineering teams.
  • Own the platforms for master data management, cloud consumption models, and FinOps practices.
  • Define and deliver the enterprise platform for building, deploying, and governing AI agents and GenAI applications.
  • Build and operate the technical control plane for Responsible AI, including risk tiering, policy enforcement, and audit logging.
  • Own the enterprise BI and semantic-layer platform, including standards for certified datasets and metric definitions.
  • Lead a multi-disciplinary organization of data and AI architects, modelers, and directors to deliver on platform goals.

What we're looking for

  • Bachelor’s degree in computer science, Engineering, Information Systems, Mathematics, or a related field.
  • Master’s degree (preferred).
  • 15+ years of progressive experience in data, analytics, and technology.
  • 8+ years of experience leading large, multi-disciplinary technology organizations.
  • 5+ years of experience at a senior level (AVP or above) in an enterprise of comparable scale and complexity.
  • Hands-on expertise in at least two of the three major enterprise data platform ecosystems: Databricks, Snowflake, or Microsoft.
  • Proven experience delivering GenAI and/or agentic AI capabilities to production in a regulated enterprise.
  • Experience leading organizations of 10+ people including architects and modelers.
  • Experience owning multi-million-dollar technology budgets, cloud FinOps, and vendor negotiations.
  • Experience in insurance or financial services (preferred).
  • Experience with data governance, catalog platforms, and MDM platforms (preferred).
  • Experience with enterprise BI platforms and internal data marketplaces (preferred).
  • Experience modernizing from mainframe or on-premises warehouse environments to cloud platforms (preferred).
  • Relevant certifications (preferred).
  • Experience with global technology organizations and offshore/nearshore delivery models (preferred).

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