Lead executive decision-making driving trade-offs across quality, risk, cost, scalability, and time-to-value for Applied AI and data science initiatives. * Drive transformation of Employee Benefits ...
Lead executive decision-making driving trade-offs across quality, risk, cost, scalability, and time-to-value for Applied AI and data science initiatives. * Drive transformation of Employee Benefits ...
US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics
Hartford, CT · On-site
... executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving ...
US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics
Hartford, CT · On-site
... executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving ...
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
New Haven, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
New Haven, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
East Haven, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
East Haven, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
Trumbull, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
Trumbull, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
North Haven, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
North Haven, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
Hamden, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
Hamden, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
Bridgeport, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
Bridgeport, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
Woodbridge, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
Woodbridge, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
Milford, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
Milford, CT · On-site
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Strategic Data Partnership Manager
Windsor, CT · Remote
Medical
Dental
Vision
Life
Retirement
PTO
Partner with data science and cross-functional teams to address customer questions, build a ... executive-level engagement. * Ability to translate ambiguous business challenges into technical or ...
Strategic Data Partnership Manager
Windsor, CT · Remote
Medical
Dental
Vision
Life
Retirement
PTO
Partner with data science and cross-functional teams to address customer questions, build a ... executive-level engagement. * Ability to translate ambiguous business challenges into technical or ...
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Data Engineering
$184K - $230K/yr
Medical
Life
Retirement
Enable Analytics, BI, and Data Science teams with high-quality, well-modeled data * Lead and ... Strong communication skills, executive presence, and a bias for ownership, reliability, and ...
New
Executive Data Science information
See Connecticut salary details
$25.2K - $38.8K
11% of jobs
$38.8K - $52.5K
12% of jobs
$54.1K is the 25th percentile. Wages below this are outliers.
$52.5K - $66.1K
22% of jobs
The median wage is $73.6K / yr.
$66.1K - $79.7K
10% of jobs
$79.7K - $93.3K
9% of jobs
$93.3K - $106.9K
11% of jobs
$109K is the 75th percentile. Wages above this are outliers.
$106.9K - $120.6K
11% of jobs
$120.6K - $134.2K
4% of jobs
$134.2K - $147.8K
11% of jobs
$147.8K - $161.4K
0% of jobs
$161.4K - $175K
1% of jobs
$25.2K
$89K
$175K
How much do executive data science jobs pay per year?
As of Aug 19, 2026, the average yearly pay for executive data science in Connecticut is $88,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,200.00 and $114,600.00 per year, depending on experience, location, and employer.
What is executive data science?
Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.
What skills and qualifications are needed to thrive as an executive data scientist?
To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.
How does an executive data scientist typically collaborate with other departments to drive data-driven decision making?
Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.
What is the difference between Executive Data Science vs Data Scientist?
| Aspect | Executive Data Science | Data Scientist |
|---|---|---|
| Credentials | Advanced degrees (Master's/PhD), leadership experience | Bachelor's or Master's in Data Science, Computer Science, or related fields |
| Work Environment | Strategic, leadership-focused, often in executive offices | Hands-on data analysis, modeling, coding in technical teams |
| Employer & Industry Usage | Senior roles in tech, finance, consulting, and large organizations | Tech companies, startups, research institutions, various industries |
Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.
What are the most commonly searched types of Data Science jobs in Connecticut?
The most popular types of Data Science jobs in Connecticut are:
What are popular job titles related to Executive Data Science jobs in Connecticut?
For Executive Data Science jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Executive Data Science jobs in Connecticut look for?
The top searched job categories for Executive Data Science jobs in Connecticut are:
What cities in Connecticut are hiring for Executive Data Science jobs?
Cities in Connecticut with the most Executive Data Science job openings:
Vice President, Applied AI Science for Employee Benefits
Hartford, CT • On-site
Full-time
Re-posted 12 days ago
The Hartford rating
8.8
Based on 121 frontline employees who took The Breakroom Quiz
57th of 310 rated insurance
Job description
VP Data Science - GD04AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is hiring a Vice President, Applied AI - Employee Benefits to define and lead the next generation of AI-driven transformation across the business. This role is responsible for driving Applied AI and Data Science strategy, execution, and governance across enrollment, billing, customer service, and operational functions, delivering measurable improvements in growth, efficiency, accuracy, and customer experience. The leader will oversee a diverse portfolio of Machine Learning, Generative AI, Agentic AI, and predictive analytics solutions while influencing enterprise AI strategy, championing responsible AI practices, and building organizational capability to accelerate The Hartford's AI-powered future.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations (Hartford, CT; Chicago, IL; Columbus, OH; Charlotte, NC) will have the expectation of working in an office 3 days a week. Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities
Skills
Education, Experience, Certifications and Licenses
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$225,600 - $338,400
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is hiring a Vice President, Applied AI - Employee Benefits to define and lead the next generation of AI-driven transformation across the business. This role is responsible for driving Applied AI and Data Science strategy, execution, and governance across enrollment, billing, customer service, and operational functions, delivering measurable improvements in growth, efficiency, accuracy, and customer experience. The leader will oversee a diverse portfolio of Machine Learning, Generative AI, Agentic AI, and predictive analytics solutions while influencing enterprise AI strategy, championing responsible AI practices, and building organizational capability to accelerate The Hartford's AI-powered future.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations (Hartford, CT; Chicago, IL; Columbus, OH; Charlotte, NC) will have the expectation of working in an office 3 days a week. Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities
- Own Applied AI strategy and integrated data science outcomes across Employee Benefits including employer lifecycle, enrollment, billing, service delivery, and operational functions, ensuring alignment to enterprise AI priorities while tailoring execution to domain-specific needs.
- Define domain-level Applied AI strategy and influence enterprise AI direction through evidence-based recommendations, technical insight, and cross-functional alignment.
- Lead executive decision-making driving trade-offs across quality, risk, cost, scalability, and time-to-value for Applied AI and data science initiatives.
- Drive transformation of Employee Benefits processes through Applied AI and data science, including enrollment optimization, service automation, contact center intelligence, billing accuracy, and employer/member experience across the full lifecycle.
- Lead application and execution of the enterprise Applied AI operating model within domain scope, ensuring teams effectively operate within defined decision rights, engagement models, and delivery governance across multiple portfolios.
- Ensure consistent adherence to enterprise AI governance frameworks across portfolios, including application of evaluation, monitoring, model risk management, and responsible AI practices in alignment with enterprise standards and regulatory expectations.
- Set direction for evaluation and performance measurement across solutions, spanning generative and agentic AI, retrieval-augmented systems, and traditional models including persistency, enrollment forecasting, service demand prediction, billing accuracy, and operational performance optimization.
- Oversee end-to-end Applied AI and data science lifecycle across portfolios, from problem framing through model development, validation, deployment, monitoring, and continuous improvement.
- Lead the identification and integration of new data sources, AI tooling, and quantitative methods into Employee Benefits workflows, improving service delivery, accuracy, scalability, and cost efficiency.
- Oversee domain-level AI risk posture and model governance, ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners and maintaining readiness for regulatory review.
- Drive cross-line of business prioritization, investment planning, and workforce strategy, aligning initiatives to measurable business outcomes and capacity constraints.
- Champion reuse, standardization, and componentization of Applied AI and data science assets, ensuring alignment with enterprise AI platform strategy and enabling scalable deployment across portfolios.
- Partner with Employee Benefits, Technology, and Service leaders to embed Applied AI into EB strategies.
- Design and scale the Applied AI leadership system across supported lines of business, including succession pipelines, capability frameworks, and long-term talent architecture.
- Define and lead a domain-level Applied AI research and innovation agenda, balancing near-term delivery with exploration of emerging techniques, tools, and capabilities.
- Monitor external AI, healthcare benefits, and regulatory trends (e.g., HIPAA, ERISA, data privacy), industry practices, and competitor capabilities to maintain competitive positioning and inform strategic direction.
Skills
- Demonstrated ability to lead Applied AI and data science strategy and execution across multiple lines of business or complex domains within a regulated enterprise environment.
- Proven experience leading leaders of leaders and scaling organizational capability across multiple teams, portfolios, and disciplines including Applied AI and data science.
- Strong technical and regulatory fluency across Applied AI, including generative and agentic AI, retrieval-augmented systems, evaluation and monitoring frameworks, and production AI operations.
- Deep expertise in data science and quantitative methods, including forecasting, operational optimization, service analytics, demand modeling, persistency analysis, and cost/efficiency modeling.
- Applied understanding of unstructured data and retrieval approaches, as well as structured data modeling and feature engineering to support business decision-making.
- Strong expertise in AI governance, model risk management, and responsible AI practices, with the ability to apply these consistently across both AI systems and traditional models.
- Demonstrated ability to drive business process transformation through the application of data science and Applied AI, including automation, optimization, and decision support.
- Ability to influence senior executives and enterprise forums through clear, data-driven communication of technical trade-offs, risks, and business impact.
- Experience driving cross-LOB prioritization, investment decisions, and workforce planning aligned to measurable outcomes at scale.
- Strong business acumen with the ability to connect analytical outputs to Employee Benefits outcomes, including employer growth, enrollment, persistency, billing accuracy, service experience, and operational efficiency.
- Ability to balance long-term strategic direction with near-term execution and delivery effectiveness across a diverse portfolio of use cases.
- Strong judgment navigating regulatory, operational, and technical complexity across multiple domains and lines of business.
- Experience applying AI to service operations
Education, Experience, Certifications and Licenses
- 20+ years of applicable experience in Applied AI, data science, machine learning, or related quantitative fields.
- 10+ years leading large, complex organizations, including leadership of senior leaders across multiple teams, portfolios, or domains.
- Demonstrated experience operating at VP level, influencing enterprise direction while owning outcomes across multiple lines of business or domains.
- Strong experience applying data science and AI within Employee Benefits, healthcare-related domains, or complex service-heavy insurance operations preferred.
- Bachelor's degree required; Master's or Ph.D. in a quantitative, technical, actuarial, or business field preferred and may offset experience.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$225,600 - $338,400
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits
What The Hartford employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Hartford
Sourced by ZipRecruiter
Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.
Industry
Finance and insurance
Company size
10,000+ Employees
Headquarters location
Hartford, CT, US
Year founded
1810