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Vice President Data Analyst Fintech Jobs (NOW HIRING)

VP, Data and Analytics

Frisco, TX · On-site

$159K - $287K/yr

The VP, Data and Analytics is accountable for the full lifecycle of Magellan Health's enterprise data and analytics capability - from foundational data engineering and governance through advanced ...

Vice President, Data amp; Analytics Products About OptimizeRx OptimizeRx is a leading healthcare technology company that's redefining how life science brands connect with patients and healthcare ...

Their client, an investment firm, is seeking a VP of Data Analytics to lead data architecture development, collaborate with stakeholders, and ensure compliance with data governance policies.

$250/hr

VP, Data Solutions, Retail Analytics Data Platform Note: Fidelity will not provide immigration sponsorship for this position. Fidelity Wealth is seeking a VP, Data Solutions to lead the Data ...

New

The new VP will harness the firm's existing data and analytics capabilities to extend services to a larger client base and more diverse market segments. This individual will enhance and help drive ...

The Vice President, Data Center Operations will play a central role in ensuring that facilities ... analytics, and process improvement to ensure clean handoffs, strong readiness, and effective ...

The new VP will harness the firm's existing data and analytics capabilities to extend services to a larger client base and more diverse market segments. This individual will enhance and help drive ...

The Vice President, Data Center Operations will play a central role in ensuring that facilities ... analytics, and process improvement to ensure clean handoffs, strong readiness, and effective ...

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Vice President Data Analyst Fintech information

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$34K

$82.6K

$136K

How much do vice president data analyst fintech jobs pay per year?

As of Sep 8, 2026, the average yearly pay for vice president data analyst fintech in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a vice president data analyst do in fintech?

A Vice President Data Analyst in a fintech company leads a team of data analysts to extract, interpret, and leverage complex financial data to drive strategic business decisions. They oversee data-driven initiatives, ensure the quality and integrity of large datasets, and collaborate with executive leadership to identify growth opportunities. Their responsibilities often include developing analytical frameworks, guiding data modeling projects, and translating insights into actionable recommendations that support the company's financial products and services.

How does a vice president data analyst in fintech typically collaborate with product and engineering teams?

As a Vice President Data Analyst in fintech, you will frequently work cross-functionally with product managers and engineering teams to translate business needs into actionable data insights. You'll participate in strategy meetings, help define key performance metrics, and ensure that analytics solutions are aligned with product development goals. Effective communication and a deep understanding of both data analysis and the fintech landscape are essential for driving impactful decisions. This collaborative environment not only fosters innovation but also provides opportunities to influence product direction and company growth.

What are the key skills and qualifications needed to thrive as a vice president data analyst in fintech, and why are they important?

To thrive as a Vice President Data Analyst in Fintech, you need advanced analytical skills, deep knowledge of financial markets, and extensive experience in data science, usually supported by a degree in statistics, mathematics, finance, or computer science. Proficiency in tools such as Python, SQL, machine learning platforms, and business intelligence systems, along with relevant certifications like CFA or FRM, is highly valued. Strong leadership, strategic thinking, and effective communication are crucial soft skills for managing teams and translating complex data insights to stakeholders. These competencies enable data-driven decision-making, foster innovation, and help organizations maintain a competitive edge in the rapidly evolving fintech landscape.

What is the difference between Vice President Data Analyst Fintech vs Data Scientist Fintech?

AspectVice President Data Analyst FintechData Scientist Fintech
Required CredentialsBachelor's or Master's in Data Analytics, Finance, or related fields; extensive experience in analytics leadershipBachelor's or Master's in Data Science, Computer Science, or related fields; strong programming and statistical skills
Work EnvironmentLeadership role overseeing analytics teams, strategic planning, and decision-making in fintech companiesHands-on role focusing on developing models, algorithms, and data analysis techniques within fintech firms
Employer & Industry UsageCommonly employed in fintech firms for strategic analytics and leadershipUsed across fintech companies for advanced data modeling and predictive analytics

The Vice President Data Analyst Fintech typically leads analytics teams, focusing on strategic insights and decision-making, while the Data Scientist Fintech is more involved in technical data modeling and algorithm development. Both roles require strong analytical skills, but their focus and responsibilities differ significantly.

What cities are hiring for Vice President Data Analyst Fintech jobs?

Cities with the most Vice President Data Analyst Fintech job openings:

What are the most commonly searched types of Data Analyst Fintech jobs?

The most popular types of Data Analyst Fintech jobs are:

What states have the most Vice President Data Analyst Fintech jobs?

States with the most job openings for Vice President Data Analyst Fintech jobs include:

What are popular job titles related to Vice President Data Analyst Fintech jobs?

For Vice President Data Analyst Fintech jobs, the most frequently searched job titles are:

Infographic showing various Vice President Data Analyst Fintech job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

VP, Data and Analytics

Frisco, TX • On-site

Magellan Health, Inc.
Health Care and Social Assistance • 201 - 500 employees

$159K - $287K/yr

Full-time

Medical, Life

Posted 15 days ago


Job description

The VP, Data and Analytics is accountable for the full lifecycle of Magellan Health's enterprise data and analytics capability - from foundational data engineering and governance through advanced analytics, business intelligence, and Artificial Intelligence (AI)/Machine Learning (ML) enablement. This leader will develop and maintain a data and analytics organization, driving a strategic shift to a modern, governed, insight-driven platform that supports clinical, operational, and financial decision-making across the enterprise.
  • Data Strategy & Transformation: Develop and own a multi-year enterprise data and analytics strategy; lead honest current-state assessment; define target-state architecture spanning clinical, claims, and operational data domains; drive rationalization and modernization of legacy data infrastructure. (20%)
  • Data Engineering, Platform & Governance: Oversee all data ingestion, Extract, Transform, and Load (ETL)/Extract, Load, Transform (ELT) pipelines, data lake/warehouse platforms, and Master Data Management (MDM). Establish data quality frameworks including profiling, monitoring, and lineage tracking. Chair enterprise Data Governance program with policies, stewardship roles, and data catalog. Ensure HIPAA, Controlled Unclassified Information (CUI) [National Institute of Standards and Technology (NIST) SP 800-171)], Cybersecurity Maturity Model Certification (CMMC), and all applicable regulatory compliance across data environments. (25%)
  • Analytics, Business Intelligence (BI) & AI/ML Enablement: Lead delivery of enterprise BI, self-service reporting, operational dashboards, and advanced analytical models. Partner with clinical, operations, and finance stakeholders to translate business questions into data products. Serve as advisory partner to the AI/ML program, ensuring data readiness, data contracts, and governance frameworks support responsible AI adoption. (25%)
  • Organizational Leadership & People Development: Lead, develop, and retain a high-performing organization of professionals across data engineering, analytics, and governance functions. Assess inherited talent; build development plans, address gaps through coaching and targeted hiring. Define team structures, roles, and career paths. (20%)
  • Financial, Vendor & Stakeholder Management: Manage $3M-$5M annual budget with transparent forecasting and variance reporting. Oversee vendor and partner relationships for data platforms, analytics tools, and managed services. Build and present investment business cases to CIO and executive leadership. (10%)

The job duties listed above are representative and not intended to be all-inclusive of what may be expected of an employee assigned to this job. A leader may assign additional or other duties which would align with the intent of this job, without revision to the job description.
Other Job Requirements
Responsibilities
15+ years of progressive experience in data, analytics, or data engineering, with at least 5 years in a senior leadership role owning a data and analytics organization.
Demonstrated track record leading a data or analytics transformation - assessing a low-maturity environment and executing a credible modernization roadmap.
Deep expertise across the modern data stack: cloud data platforms (Snowflake, Databricks, AWS Redshift, Azure Synapse), ETL/ELT tooling, and BI/visualization platforms (Tableau, Power BI, Looker).
Experience building or leading enterprise data governance programs including policies, data stewardship models, and data quality operations.
Strong financial management skills including budget ownership, vendor negotiation, and investment prioritization. Exceptional executive communication skills.
Experience managing large multi-functional teams (30+ professionals) through organizational change.
Healthcare industry experience strongly preferred. Familiarity with HIPAA, HL7/FHIR, ICD coding, and claims data structures.
Experience handling federal data requirements is highly desired, including familiarity with Controlled Unclassified Information (CUI) handling per NIST SP 800-171 and/or CMMC compliance environments.
General Job Information
Title
VP, Data and Analytics
Grade
34
Work Experience - Required
Analytics/Informatics, Data Analysis, Data Governance, IT, Management/Leadership
Work Experience - Preferred
Federal
Education - Required
Bachelor's - Computer and Information Science, Bachelor's - Management Information Systems
Education - Preferred
Master's - Computer and Information Science, Master's - Healthcare Administration
License and Certifications - Required
License and Certifications - Preferred
Salary Range
Salary Minimum:
$159,665
Salary Maximum:
$287,395
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law.
This position may be eligible for short-term incentives as well as a comprehensive benefits package. Magellan offers a broad range of health, life, voluntary and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing.
Magellan Health, Inc. is proud to be an Equal Opportunity Employer and a Tobacco-free workplace. EOE/M/F/Vet/Disabled.
Every employee must understand, comply with and attest to the security responsibilities and security controls unique to their position; and comply with all applicable legal, regulatory, and contractual requirements and internal policies and procedures.