Vice President, Workplace Data Science – AI Execution
Voya Financial
full-time
Posted on:
Location Type: Hybrid
Location: Windsor • Connecticut • New York • United States
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Salary
💰 $230,390 - $287,990 per year
Job Level
About the role
- Define and execute the data science strategy aligned with the Workplace Solutions technology and business roadmap.
- Drive end‑to‑end execution of analytics and machine learning use cases, from problem definition through deployment and scaling.
- Prioritize use cases based on speed‑to‑value, business impact, and scalability.
- Serve as a trusted advisor to the CTO on data science investments, sequencing, and delivery trade‑offs.
- Partner with peers across Product, Engineering, Data Platforms, Distribution, Operations, and Marketing to co‑own analytics outcomes.
- Lead execution of advanced analytics and select AI‑enabled capabilities, including: – Predictive modeling and decision intelligence – Workflow automation and intelligent document processing – Targeted insights for advisors, intermediaries, and participants.
- Establish clear ownership models, operating rhythms, and delivery accountability across teams.
- Rapidly deliver data science capabilities that support: – Plan sponsor acquisition, retention, and expansion – Lead scoring, propensity modeling, and churn prediction – Cross‑sell and upsell across retirement, wealth, and benefits offerings.
- Improve advisor and intermediary productivity through data‑driven insights, recommendations, and workflow integration.
- Establish an agile, product‑oriented operating model for data science delivery.
- Shorten cycle times from ideation to production through reusable components, shared platforms, and pragmatic governance.
- Create a culture of experimentation with clear success metrics and fast decisions.
- Implement scalable, risk‑aware governance frameworks that support rapid deployment of analytics and machine learning solutions.
- Ensure explainability, fairness, privacy, and security without creating delivery bottlenecks.
- Partner with Risk and Compliance to standardize fast approval paths for repeatable patterns.
Requirements
- 12-15 years of experience in data science, advanced analytics, or machine learning, with 5+ years in leadership roles.
- Demonstrated success delivering analytics and ML initiatives at scale in partnership with cross‑functional leaders.
- Proven ability to accelerate delivery of high‑value use cases with measurable business impact.
- Experience driving growth, retention, and intermediary productivity through data‑driven solutions.
- Deep experience in workplace retirement, wealth management, employee benefits, or benefits administration.
- Strong track record operating in regulated environments with a bias for speed and outcomes.
- Experience influencing without direct authority across complex organizations.
- Experience building enterprise data science platforms and reusable capabilities.
- Familiarity with modern MLOps and model governance frameworks.
Benefits
- Health, dental, vision and life insurance plans
- 401(k) Savings plan – with generous company matching contributions (up to 6%)
- Voya Retirement Plan – employer paid cash balance retirement plan (4%)
- Tuition reimbursement up to $5,250/year
- Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
- Paid volunteer time — 40 hours per calendar year
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data scienceadvanced analyticsmachine learningpredictive modelingdecision intelligenceworkflow automationintelligent document processinglead scoringpropensity modelingchurn prediction
Soft Skills
leadershipinfluencing without authoritycollaborationcommunicationstrategic thinkingproblem-solvingaccountabilityagilitycreativitydecision-making