below marketmost similar roles pay hereabove market
This role pays more than
57%
of similar roles. Most pay
$161,085–$255,625
— the blue band above.
At the midpoint, this role pays about
$218k
versus about
$208k
for comparable roles.
Based on 240 similar postings.
Employer
About Genworth Financial
Genworth Financial is a financial services company focused on mortgage insurance, long-term care insurance, and life insurance and annuity products to help people protect their financial well-being. Industry: Insurance & Financial Services
Genworth Financial currently has
27 open roles
on FindRole.
Listed pay typically runs
$120,900–$187,000
across 27 roles with salary data.
The Senior Director, Data and Actuarial Technology leads the strategy, modernization, and operational performance of technology capabilities supporting actuarial modeling, enterprise data, and analytics. Reporting to the Head of Engineering, Insurance and Business Operations, this leader manages a portfolio spanning data platforms, architecture, engineering, integrations, business intelligence, and cloud capabilities. Key responsibilities include defining multi-year roadmaps, managing budgets and vendors, and ensuring stability for critical regulatory processes. The role requires expertise in Databricks, Snowflake, AWS, Azure, PowerBI, and Tableau to advance governed data products and AI readiness. The position solves complex technical problems within a regulated insurance environment, specifically focusing on modeling, valuation, forecasting, and assumption management while reducing technical debt and manual work through automation and legacy retirement.
Define and execute a multi-year data and actuarial technology strategy and investment plan.
Advance governed data products and platforms to improve data quality, lineage, and AI readiness.
Establish secure, scalable architecture standards for data governance, compliance, and disaster recovery.
Manage portfolio performance, including budgets, vendor contracts, technology risk, and service health.
Lead a high-performing organization through talent development, workforce planning, and performance management.
Communicate strategy, risks, and measurable business value to executive and business stakeholders.
Champion modern engineering practices, automation, and innovation to improve operational efficiency.
What we're looking for
Bachelor’s degree in Computer Science, Information Systems, Engineering, Data, Business, or a related field, or equivalent experience.
Advanced degree (preferred).
10+ years of progressive technology leadership experience across complex enterprise platforms, delivery, operations, and modernization.
Deep expertise in modern cloud data platforms (Databricks, Snowflake), data architecture, cloud platforms (AWS, Azure), data engineering, integration, business intelligence, and data visualization platforms.
Proven success modernizing complex, mission-critical platforms and leading enterprise-scale data, analytics, actuarial, or related technology transformations.
Demonstrated success defining and executing enterprise strategies, multiyear roadmaps, operating models, investment plans, and transformation initiatives while managing large portfolios and budgets.
Experience leading actuarial technology capabilities or partnering closely with actuarial teams; insurance industry experience (strongly preferred).
Experience in complex, regulated environments, preferably financial services or insurance, with knowledge of regulatory requirements, audits, and control frameworks.
Causal Inference
Data Science
Experimentation
Measurement
Retrieval
Ranking
Data Platforms
Analytical Systems
Responsible AI
Privacy
UGC
Counterfactual Analysis
Offline Evaluation
Online Experimentation
Machine Learning
Deep Learning
Python
Spark
TensorFlow
scikit learn
Scala
R
Distributed Training
Low-latency Inference
RecSys
Optimization Models
WCAG) 2.2 AA
Data Science
Statistics
Operations Research