AVP, Data Management

CareSource

CareSource executive leading enterprise data platforms supporting healthcare analytics, AI, reporting, and modernization. Overseeing architecture, engineering, integration, reliability, governance, and technology teams.

Posted 8/6/2026full-timeRemote • 🇺🇸 United StatesLead💰 $150,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining and executing enterprise data platform strategies, leading data engineering teams, and establishing architecture standards. Proficient in cloud-based data modernization, data governance, and operational practices for mission-critical data platforms.

Highest-signal resume keywords

Enterprise Data Platform StrategyData Architecture StandardsCloud-Based Data ModernizationData Quality MonitoringLeadership in Data Engineering

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ManagementData EngineeringData ArchitectureETL/ELT PipelinesDataOpsCI/CDMaster Data ManagementMetadata ManagementData ObservabilityPerformance Optimization

Soft Skills

Executive LeadershipTeam BuildingVendor ManagementContract NegotiationStrategic Partnership Development

Tools & Technologies

DatabricksAzureSnowflakeAI/ML PlatformsEvent-Driven ArchitectureDomain-Driven Architecture

Industry Keywords

Healthcare Data ExchangesFHIRHL7EDIHealthcare Payer Industry

Tech Stack

Tools & technologies

AzureCloudETL

About the role

Key responsibilities & impact

Define and execute the enterprise data platform strategy and multi-year technology roadmap
Establish architecture standards, design principles, engineering practices, and reference architectures
Lead modernization across data platforms, integration technologies, and operational processes
Evaluate emerging technologies and align platform investments with organizational and business objectives
Sponsor major enterprise data transformation initiatives
Define canonical data models, integration patterns, information architecture, metadata, lineage, and lifecycle practices
Drive adoption of lakehouse, event-driven, and domain-oriented data architectures
Provide executive leadership for enterprise data engineering teams
Oversee scalable ETL/ELT pipelines, data products, automation, DevOps, DataOps, CI/CD, and code quality
Lead platform optimization for performance, scalability, reliability, and cost efficiency
Own enterprise integration strategy across clinical, operational, financial, and third-party systems
Lead large-scale migration and consolidation initiatives
Establish governance, SLAs, operational metrics, KPIs, dashboards, and reporting frameworks
Oversee data quality monitoring, remediation, capacity planning, incident management, root-cause analysis, and problem resolution
Ensure security, access controls, disaster recovery, and risk management processes
Build and lead teams of directors, managers, architects, engineers, and operations professionals
Develop leadership talent, succession planning, organizational priorities, and performance expectations
Lead vendor management, contract negotiations, strategic technology partnerships, and budgets
Perform other related duties as requested

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field required
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
Knowledge of Databricks, Azure, Snowflake, or comparable modern cloud data platforms
Familiarity with data mesh, domain-driven architecture, and modern DataOps practices
Familiarity with FHIR, HL7, EDI, and related healthcare data exchanges
Ability to support AI/ML platforms and large-scale enterprise analytics environments
Skill with master data management, metadata management, and data observability solutions
Familiarity with the healthcare payer industry strongly preferred
Master's degree preferred
Licensure and certification: None

Benefits

Comp & perks

Base compensation of $150,000-$300,000 per year
May qualify for a bonus tied to company and individual performance
Substantial and comprehensive total rewards package
Employee total well-being support
Equal Opportunity Employer environment focused on belonging and inclusion