1

Vice President Data Engineering Jobs in Texas (NOW HIRING)

VP, Data and Analytics

Frisco, TX ยท On-site

$159K - $287K/yr

The VP, Data and Analytics is accountable for the full lifecycle of Magellan Health's enterprise ... Data Engineering, Platform & Governance: Oversee all data ingestion, Extract, Transform, and Load ...

Reporting to the VP-Data Engineering, AI & ML, you will lead a team of Data Engineers - setting the technical execution direction while staying close enough to the architecture and code to guide hard ...

Remote (US) with periodic travel to engineering hubs Reports to: Chief Technology Officer A quick snapshot... As the Vice President of Data Architecture at Conga , you will define and lead the ...

The Manager, Data Engineering is responsible for overseeing the design, development, and ... To: VP, Data Management & Strategy The Company provides equal employment opportunity to all ...

The Manager, Data Engineering is responsible for overseeing the design, development, and ... To: VP, Data Management & Strategy The Company provides equal employment opportunity to all ...

The Manager, Data Engineering is responsible for overseeing the design, development, and ... To: VP, Data Management & Strategy The Company provides equal employment opportunity to all ...

VP, Data Products & Solutions

Dallas, TX ยท On-site

$200 - $320/hr

At the center of this mandate is a deliberate philosophy: value engineering . Every product ... a VP or executive role leading a data product organization * Demonstrated track record of ...

At the center of this mandate is a deliberate philosophy: value engineering . Every product ... a VP or executive role leading a data product organization * Demonstrated track record of ...

At the center of this mandate is a deliberate philosophy: value engineering . Every product ... a VP or executive role leading a data product organization * Demonstrated track record of ...

next page

Showing results 1-20

Vice President Data Engineering information

What is a vice president data engineering?

A Vice President of Data Engineering is a senior executive responsible for leading and overseeing the data engineering function within an organization. They manage teams that design, build, and maintain data architectures, pipelines, and infrastructure to support data analytics and business intelligence. The VP of Data Engineering collaborates closely with other executives to define data strategy, ensure data quality, and enable data-driven decision-making across the company. Their role often includes setting technical direction, managing budgets, and ensuring compliance with data governance and security standards.

What are some common challenges faced by a vice president data engineering, and how can they be addressed?

A Vice President of Data Engineering often deals with challenges such as aligning data strategy with business goals, managing cross-functional teams, and ensuring data quality and security at scale. Balancing rapid innovation with system reliability can also be demanding, as can integrating new technologies with legacy systems. Success in this role typically involves strong communication with stakeholders, fostering a culture of collaboration, and investing in ongoing staff development to keep pace with evolving data landscapes.

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

To thrive as a Vice President of Data Engineering, you need deep expertise in data architecture, large-scale data systems, and team leadership, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), big data technologies (such as Hadoop, Spark), and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strategic thinking, strong communication, and the ability to mentor and motivate teams are crucial soft skills for success in this executive role. These skills and qualities are essential to drive data strategy, ensure robust system performance, and align engineering efforts with business objectives.

What is the difference between Vice President Data Engineering vs Data Engineering Manager?

AspectVice President Data EngineeringData Engineering Manager
ResponsibilitiesStrategic leadership, overseeing data infrastructure, setting visionTeam management, project execution, technical oversight
Required CredentialsBachelor's/Master's in CS, extensive experience, leadership skillsBachelor's/Master's in CS, technical expertise, management experience
Work EnvironmentExecutive-level, cross-departmental collaborationTeam-based, project-focused, technical environment
Industry UsageCommon in large organizations, strategic rolesWidespread across companies, operational roles

The Vice President Data Engineering focuses on strategic leadership and long-term vision for data infrastructure, while the Data Engineering Manager handles day-to-day team management and project execution. Both roles require strong technical backgrounds, but the VP role emphasizes leadership and strategy, whereas the manager role is more hands-on with technical implementation.

What are the most commonly searched types of Data Engineering jobs in Texas?

The most popular types of Data Engineering jobs in Texas are:

What cities in Texas are hiring for Vice President Data Engineering jobs?

Cities in Texas with the most Vice President Data Engineering job openings:

Infographic showing various Vice President Data Engineering job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

VP, Data and Analytics

Frisco, TX โ€ข On-site

Magellan Health, Inc.
Health Care and Social Assistanceย โ€ขย 201 - 500 employees

$159K - $287K/yr

Full-time

Medical, Life

Posted 5 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.