Vice President, Workplace Data Science & AI Execution

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.

 

Key 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.

 

Qualifications

Required
• 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.

 

Preferred
• Advanced degree in a quantitative or technical field.

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Compensation Pay Disclosure:

Voya is committed to pay that’s fair and equitable, which means comparable pay for comparable roles and responsibilities.

The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.

Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

$230,390 - $287,990 USD

Be Well. Stay Well.

Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That’s why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.

What We Offer

• 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

Learn more about Voya benefits (download PDF)

Critical Skills

At Voya, we have identified the following critical skills which are key to success in our culture:

• Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
• Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
• Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
• Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
• Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.

Learn more about Critical Skills

Equal Employment Opportunity

Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.