Top 275 Head of data Jobs in United States

Head of Group Data Enablement
Guardian Life Insurance Company —Remote
- $152,290 - $250,195 a year
- Email
- AWS
- US work authorization
- Senior level
Head of Data Engineering
TRANZACT —Remote
- $200,000 a year
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
- Paid jury duty
- Health savings account
Quick Apply
12d
SVP, Head of Data Analytics
Pacific Coast Bankers’ Bancshares —Remote
- $134,200 - $186,400 a year
- Remote
- Computer science
- 7 years
- Computer Science
Head of Investor Relations - AI Trainer
DataAnnotation —Madison, WI
- $50 - $100 an hour
- Part-time
- Remote
- English
- Master's degree
- Doctor of Philosophy
Quick Apply
Head of Investor Relations - AI Trainer
DataAnnotation —Fort Lauderdale, FL
- $50 - $100 an hour
- Part-time
- Remote
- English
- Master's degree
- Doctor of Philosophy
Quick Apply
Head of Data Science - Hybrid
DW Simpson —Fort Lee, NJ
- $200,000 a year
- 8 years
- SQL
- Senior level
Quick Apply
10d
Head of AI Data Science, Intelligence Ventures
SPECTRUM —New York, NY
- $263,200 - $393,800 a year
- 7 years
- Computer Science
- Office
- Opportunities for advancement
Chief of Staff, Data
Coursera —Remote
- $155,420 - $235,600 a year
- Remote
- Master's degree
- Organizational skills
- Experience equivalent to degree accepted
- Health insurance
Quick Apply
Head of Analytics
360training —Remote
- Remote
- 5 years
- SQL
- Bachelor's degree
- Health savings account
- AD&D insurance
Quick Apply
Vice President, Head of Data Science & Biostatistics
Solid Biosciences —Remote
- $288,275 - $377,128 a year
- Remote
- Doctoral degree
- Office
- Master's degree
- Free parking
- Health savings account
Quick Apply
Head of Data
Philo —San Francisco, CA
- $270,000 - $375,000 a year
- Full-time
- Remote
- SQL
- Mentoring
- Fair chance
- Commuter assistance
- Paid parental leave
Quick Apply
Global Head of Data Science, Analytics & AI
Mars —Chicago, IL
- $252,000 - $346,500 a year
- Full-time
- Azure
- Computer Science
- 11+ years
- Health insurance
- Dental insurance
Head of AI and Data Transformation - Global Product Solutions
BlackRock Investments —San Francisco, CA
- $270,000 - $350,000 a year
- Hybrid work
- Office
- Databases
- Analysis skills
- Health insurance
- Tuition reimbursement
Head of SMS Lead Generation Strategy (Sending & Data Acquisition)
Property Leads —Remote
- Full-time
- Remote
- 5 years
- Senior level
- Health insurance
- Dental insurance
Quick Apply
Data Analytics and Data Lead- Head Start
JBS International —Remote
- Full-time
- Remote
- Ability to lift 50 pounds
- Analysis skills
- Travel
Quick Apply
Head of Decision Intelligence
Deepgram —Remote
- $130,000 - $185,000 a year
- Full-time
- Remote
- SQL
- Recruiting
- APIs
Head of Data Analytics – Remote
Glint Tech Solutions LLC —Sunnyvale, CA
- $200,000 - $250,000 a year
- Full-time
- Remote
- SQL
- Mentoring
- Senior level
Quick Apply
5d
VP, Head of Policy & Data Operations (remote)
Broadridge —New York, NY
- $200,000 - $225,000 a year
- Email
- Remote
- Finance
- Bachelor's degree
- Senior level
- Paid sick time
Head of Data
Linktree —Los Angeles, CA
- $320,000 - $340,000 a year
- Full-time
- System design
- Mentoring
- Recruiting
- Disability insurance
- Health insurance
Head of Data Science
TRANZACT —Fort Lee, NJ
- From $200,000 a year
- Full-time
- Hybrid work
- Office
- Master's degree
- 8 years
- Paid jury duty
- Health savings account
Quick Apply

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head of data jobs near united states

Head of Group Data Enablement

Guardian Life Insurance Company -
Remote

Apply Now

Job Details

Full-time
$152,290 - $250,195 a year

Qualifications

Requirements specification
Requirements design
Requirements analysis
Leading team collaboration initiatives
Cross-functional team management
Project stakeholder communication

Full Job Description

Role Purpose

The Group Data Enablement Lead activates Guardian’s enterprise data management, governance, and data product practices across the Group business. The role ensures that data from source systems, platforms, analytics, and AI use cases is trusted, well-governed, and ready for use by design. It also leads and influences stakeholders by turning enterprise data strategy and standards into practical execution and building sustainable accountability within the business over time.

Key Responsibilities

Operationalize enterprise data management, data governance, and AI‑readiness practices within Group value streams.

Partner with Group business leaders to identify, frame, and prioritize high‑value business and AI use cases, translating them into clear data product requirements.

Embed data product practices into Group execution, including clear ownership, lifecycle management, quality, semantics, lineage, and consumption readiness.

Translate enterprise data strategy, policies, standards, and operating model expectations into actionable Group data roadmaps, delivery plans, and priorities aligned to business outcomes and Tech roadmaps.

Resolve cross‑stream data dependencies and tradeoffs impacting trust, delivery timelines, and reuse.

Ensure upstream data supports analytics, BI, applications, and AI use cases by design, not through after‑the‑fact remediation.

Partner with Platforms to embed governance, quality, and protection capabilities into Group workflows and pipelines.

Communicate data strategy, priorities, risks, and tradeoffs to Group leadership in clear, outcome‑oriented terms to enable informed decision‑making.

Track and report progress and realized value of Group data initiatives, including impact to business use cases, analytics adoption, AI readiness, and audit outcomes.

Serve as the primary escalation point for Group data management and governance execution issues.

Requirements

10+ years of experience in data management, data governance, analytics, or related disciplines in large, complex enterprise environments.

Demonstrated experience translating business strategy and use cases into data product requirements and execution plans.

Strong understanding of data product practices including ownership, lifecycle, quality, semantics, and consumption readiness.

Ability to partner with business leaders to identify high‑value data and AI use cases aligned to business outcomes.

Proven experience embedding data practices into business delivery rather than operating as a centralized control function.

Experience in leading and influencing Data Product Owners and Data Stewards in a matrixed environment.

Experience resolving cross‑team data dependencies and tradeoffs across business, analytics, and technology teams.

Strong business and executive communication skills, including the ability to explain data‑related tradeoffs, risks, and value clearly.

Comfort engaging senior business, technology, and governance leaders as a trusted partner.

Preferred Qualifications

Experience supporting Group Insurance, Benefits, or Financial Services data environments

Familiarity with finance, insurance, or regulated business models, including reporting, risk, or compliance considerations

Experience working with Group Benefits, claims, billing, eligibility, membership, or financial data

Experience with data governance and data analytics platforms: AWS, Databricks, Snowflake, GCP, Collibra, Reltio, or similar.

Salary Range:

$152,290.00 - $250,195.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Inspire Well-Being

As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact [email protected]. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site.

Visa Sponsorship

Guardian Life is not currently or in the foreseeable future sponsoring employment-based visas (e.g., such as an H-1B). In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship/support now or at any time in the future.

Notice Regarding Guardian’s Use of Artificial Intelligence in Recruitment

As part of Guardian’s job application process, Guardian may use artificial intelligence tools (“AI Tools") to automate the sorting and filtering of information provided by applicants as part of its preliminary screening. This preliminary screening may be used to help identify applicant materials and resumes relative to their indication that the applicant meets the requirements for the specific job for which they are applying, as specified in the listing posted on Guardian’s jobs website (Careers at Guardian at https://www.guardianlife.com/careers). At Guardian, we do not use AI Tools to substantially assist or replace human judgment or discretionary decision making in our hiring process. All hiring decisions will be made by Guardian colleagues.

Please be aware that if you apply for a specific position with Guardian, you will have the choice of opting out of Guardian’s use of AI Tools during the job application process. If you would like to request an alternative process that does not utilize AI Tools or would like to request a reasonable accommodation, within ten business days of your position application, you must email your request to [email protected], making sure to provide your name and job requisition identification number. Guardian will retain your applicant materials and resume and all information therefrom in accordance with Guardian’s document retention policy, a copy of which you may request via [email protected].

Additionally, at applicable times, Guardian will make public the most recent bias audit results for such AI tools, which may be found here.

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Apply Now

Refine Your Search

head of data jobs in united states

Head of Group Data Enablement

Head of Data Engineering

SVP, Head of Data Analytics

Head of Investor Relations - AI Trainer

Head of Investor Relations - AI Trainer

Head of Data Science - Hybrid

Head of AI Data Science, Intelligence Ventures

Chief of Staff, Data

Head of Analytics

Vice President, Head of Data Science & Biostatistics

Head of Data

Global Head of Data Science, Analytics & AI

Head of AI and Data Transformation - Global Product Solutions

Head of SMS Lead Generation Strategy (Sending & Data Acquisition)

Data Analytics and Data Lead- Head Start

Head of Decision Intelligence

Head of Data Analytics – Remote

VP, Head of Policy & Data Operations (remote)

Head of Data

Head of Data Science

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