AVP, Data Management

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in USA
Remote
150K-300K Annually
Expert/Leader
Healthtech • Insurance
The Role
Lead enterprise data platform strategy, architecture, engineering, integration, quality, and operations. Drive cloud modernization, scalable ETL/ELT, data governance, observability, MDM, interoperability, and platform reliability to support analytics, AI, regulatory compliance, and business outcomes. Build and manage senior data engineering and operations teams, vendor relationships, and budgets.
Summary Generated by Built In
Job Summary:
The Associate Vice President, Data Management is a senior technology executive responsible for the strategy, architecture, engineering, integration, quality, and operational management of enterprise data platforms. This leader ensures that the data ecosystem is scalable, secure, reliable, and capable of supporting analytics, artificial intelligence, operational reporting, regulatory compliance, and business transformation initiatives. They serve as the enterprise owner for a modern data platform strategy, including cloud data platforms, data movement, integration architecture, master data management, operational excellence, and data reliability. The AVP partners closely with Data Strategy & Governance, Data & AI Solutions, Enterprise Architecture, Clinical Operations, Finance, and Technology leaders to ensure the enterprise data foundation enables business outcomes while maintaining appropriate controls, performance, and scalability.
Essential Functions:
  • Define and execute the enterprise data platform strategy and multi-year technology roadmap.
  • Establish architecture standards, design principles, and engineering practices supporting enterprise data initiatives.
  • Lead modernization efforts across data platforms, integration technologies, and operational processes.
  • Evaluate emerging technologies and industry trends to continuously improve enterprise data capabilities.
  • Align data platform investments with organizational priorities, technology strategy, and business objectives.
  • Act as executive sponsor for major enterprise data transformation initiatives.
  • Lead the creation and governance of enterprise data architecture standards and reference architectures.
  • Establish target-state architecture supporting operational reporting, advanced analytics, AI, interoperability, and regulatory requirements.
  • Define canonical data models, integration patterns, and enterprise information architecture.
  • Partner with Enterprise Architecture to align data strategy with broader application and infrastructure roadmaps.
  • Oversee metadata-driven architecture, data lineage, and data lifecycle management practices.
  • Drive adoption of modern architectural patterns including lakehouse, event-driven, and domain-oriented data architectures.
  • Provide executive leadership for enterprise data engineering teams.
  • Oversee design, development, and optimization of scalable ETL/ELT pipelines and data products.
  • Ensure engineering delivery practices support reliability, performance, maintainability, and reusability.
  • Champion automation, DevOps, and DataOps capabilities across the organization.
  • Establish engineering standards, code quality practices, CI/CD frameworks, and operational controls.
  • Lead platform optimization efforts to improve performance, scalability, and cost efficiency.
  • Own enterprise integration strategy across clinical, operational, financial, and third-party systems.
  • Ensure integration solutions align with enterprise standards, regulatory requirements, and business objectives.
  • Partner with application and infrastructure teams to streamline system connectivity and data flow.
  • Lead large-scale migration and consolidation initiatives during mergers, acquisitions, or platform modernization efforts.
  • Establish operational governance and performance management practices for data platforms.
  • Ensure platform availability, reliability, resiliency, and service performance meet defined SLAs.
  • Lead enterprise data quality monitoring, remediation, and continuous improvement efforts.
  • Develop operational metrics, KPIs, dashboards, and reporting frameworks to measure platform health and business value.
  • Oversee capacity planning, incident management, root-cause analysis, and problem resolution processes.
  • Partner with Data Strategy & Governance leadership to operationalize data quality standards and stewardship practices.
  • Ensure appropriate security, access controls, disaster recovery, and risk management processes are in place.
  • Build and lead high-performing teams including directors, managers, architects, engineers, and operations professionals.
  • Foster a culture of accountability, innovation, operational excellence, and continuous improvement.
  • Develop leadership talent and succession planning within the organization.
  • Establish organizational priorities, objectives, and performance expectations.
  • Lead vendor management, contract negotiations, and strategic technology partnerships.
  • Manage budgets for personnel, infrastructure, licensing, and external services.
  • Perform any other job related duties as requested.

Education and Experience:
  • Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field required
  • Master's degree preferred
  • Equivalent years of relevant work experience may be accepted in lieu of required education
  • Twelve (12) years of progressive experience in data management, data architecture, data engineering, or platform engineering required
  • Five (5) years of leadership experience managing large-scale technology organizations required
  • Experience leading enterprise data platforms supporting analytics, operational reporting, and AI initiatives required
  • Experience establishing and scaling operational practices for mission-critical data platforms required
  • Experience leading cloud-based data modernization initiatives required
Competencies, Knowledge and Skills:
  • Familiarity with healthcare payer industry strongly preferred
  • Knowledge of Databricks, Azure, Snowflake, or comparable modern cloud data platforms
  • Familiarity with data mesh, domain-driven architecture, and modern DataOps practices
  • Familiarity with healthcare interoperability standards including FHIR, HL7, EDI, and related healthcare data exchanges
  • Ability to support AI/ML platforms and large-scale enterprise analytics environments
  • Skilled with master data management, metadata management, and data observability solutions
Licensure and Certification:
  • None
Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time
  • Travel is not typically required

Compensation range $150,000-$300,000.  CareSource takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package.

Compensation Type (hourly/salary):

Salary

Organization Level Competencies

  • Fostering a Collaborative Workplace Culture

  • Cultivate Partnerships

  • Develop Self and Others

  • Drive Execution

  • Energize and Inspire the Organization

  • Influence Others

  • Pursue Personal Excellence

  • Understand the Business


 

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.#LI-SW2

Brand=CareSource

Skills Required

  • Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or related field
  • Master's degree
  • Equivalent years of relevant work experience may be accepted in lieu of required education
  • Twelve years progressive experience in data management, data architecture, data engineering, or platform engineering
  • Five years leadership experience managing large-scale technology organizations
  • Experience leading enterprise data platforms supporting analytics, operational reporting, and AI initiatives
  • Experience establishing and scaling operational practices for mission-critical data platforms
  • Experience leading cloud-based data modernization initiatives
  • Knowledge of Databricks, Azure, Snowflake or comparable cloud data platforms
  • Familiarity with data mesh, domain-driven architecture, and modern DataOps practices
  • Familiarity with healthcare interoperability standards including FHIR, HL7, and EDI
  • Skilled with master data management, metadata management, and data observability solutions
  • Ability to support AI/ML platforms and large-scale enterprise analytics environments
  • Experience with vendor management, contract negotiations, and budget management for technology

CareSource Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CareSource and has not been reviewed or approved by CareSource.

  • Strong & Reliable Incentives Bonuses are regularly available and serve as a meaningful part of total compensation. Annual performance-based awards are considered a strong component.
  • Leave & Time Off Breadth PTO starts around four weeks and increases with tenure, complemented by paid holidays and a floating day. Volunteer time expands the available leave options.
  • Affordable Benefits Health plan options are considered affordable, supported by wellness incentives that can reduce premiums. Coverage breadth includes medical, dental, vision, and cost‑lowering programs.

CareSource Insights

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The Company
HQ: Dayton, OH
3,668 Employees

What We Do

Health Care with Heart. It is more than a tagline; it’s how we do business. CareSource has been providing life-changing health care to people and communities for nearly 30 years and we will continue to be a transformative force in the industry by placing people over profits. CareSource is and will always be members first. Even as we grow, we remember the reason we are here – to make a difference in our members’ lives by improving their health and well-being. Today, CareSource offers a lifetime of health coverage to nearly 2 million members through plan offerings including Marketplace, Medicare Advantage and Medicaid. With our team of 4,000 employees located across the country, we continue to clear a path to better life for our members. Visit the "Life"​ section to see how we are living our mission in the states we serve. CareSource is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity, genetic information, protected veteran status or any other characteristic protected by applicable federal, state or local law. If you’d like more information about your EEO rights as an applicant under the law, please click here: https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf and here: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf Si usted o alguien a quien ayuda tienen preguntas sobre CareSource, tiene derecho a recibir esta información y ayuda en su propio idioma sin costo. Para hablar con un intérprete, Por favor, llame al número de Servicios para Afiliados que figura en su tarjeta de identificación. 如果您或者您在帮助的人对 CareSource 存有疑问,您有权 免费获得以您的语言提供的帮助和信息。 如果您需要与一 位翻译交谈,请拨打您的会员 ID 卡上的会员服务电话号码

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