Vice President, Workplace Data Science & AI Execution

Voya Financial • Boston, MA

3d • Hybrid

About The Position

Together we fight for everyone’s opportunity for a better financial future. We will do this together — with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today. Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision. Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage – Apply Now Role Overview The Vice President, Head of Data Science & AI Execution will lead the rapid delivery of data science, advanced analytics, and applied machine learning capabilities across the Workplace Solutions business, including retirement, wealth management, employee benefits, and benefits administration. Reporting to the CTO of Workplace Solutions, this leader is accountable for accelerating the execution of high‑impact data science use cases that drive plan sponsor growth and retention, improve advisor and intermediary productivity, and enhance participant and employee experiences. This leader is hands‑on, agile, and execution‑oriented, partnering closely with peers across Technology, Product, Data Engineering, Distribution, Operations, Risk, and Compliance to move analytics initiatives from idea to production with speed and discipline.

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.

Nice To Haves

• Advanced degree in a quantitative or technical field.

Responsibilities

• Data Science Strategy with a Bias for Execution • 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.
• Cross‑Functional Delivery & Partnerships • 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.
• Growth, Retention & Intermediary Enablement • 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.
• Agile Delivery & Operating Model • 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.
• Governance Without Friction • 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed