Vice President, Workplace Data Science – AI Execution

Role Overview

• 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