• Own the Data Orchestration roadmap end-to-end across MCP Gateway and ZG Graph, defining clear problem statements, success metrics, and platform adoption targets • Define and evolve the unified access model for how applications and AI agents interact with data and capabilities, spanning GraphQL, APIs, and AI tool invocation • Enable Data Mesh adoption by defining and scaling domain-driven access patterns, aligning orchestration with domain models, lifecycle contracts, and cross-domain interoperability • Establish and uphold the operational excellence bar for the orchestration layer, including availability, latency, observability, and incident response standards • Define authentication, authorization, and access patterns that enable secure, scalable interaction across data, services, and AI-powered tools • Design and operationalize governance models for access and orchestration, including lifecycle expectations, versioning standards, and ownership clarity across domains • Create paved paths and platform primitives that reduce onboarding friction while preventing fragmented or unmanaged integration patterns • Drive adoption of MCP Gateway and ZG Graph as the default access layer through structured rollouts, enablement, and measurable impact • Use reliability, adoption, and governance metrics to continuously improve platform performance and prioritize platform hardening versus expansion

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Manager of Data Delivery and Governance will lead our data systems integration delivery and governance team by supporting critical healthcare payer integrations and enterprise data management initiatives. This role will oversee a team of data integration systems analysts responsible for understanding payer data requirements, designing data integration solutions, and ensuring robust data governance practices across the data initiatives. The ideal candidate will combine strong healthcare data knowledge, technical expertise with leadership skills to ensure data integrity, compliance, and readiness for engineering execution. Qualifications - Bachelor’s or Master’s degree in Data Management, Information Systems, Computer Science, or related field. - 8+ years in data management, integration, or governance roles. - 3+ years in a leadership position managing data delivery teams. - Strong understanding of ETL/ELT processes, data modeling, and enterprise data architecture. - Familiarity with data governance tools (e.g., Catalog, Atlan, Collibra, Alation) and quality frameworks. - Expertise in tools such as SQL and cloud-based data platforms. - Proven ability to lead cross-functional teams and drive agile delivery. - Excellent communication and stakeholder management skills. - Excellent problem-solving, interpersonal, and stakeholder management skills. Requirements - Experience with cloud data platforms (GCP, AWS, Azure). - Knowledge of healthcare data standards (claims, HEDIS, payer integrations). - Familiarity with scrum/agile methodologies and Jira. - Demonstrated ownership mindset, proactive problem-solving, and a results-driven approach. - Strong verbal and written communication. - Excellent analytical and problem-solving skills. - Strong work ethic and attention to detail. Benefits - Travel may be required up to 15% locally or nationally. - Compensation for this position will be disclosed in accordance with applicable state and local pay transparency laws. - As a condition of employment, WellBe Senior Medical requires all candidates to successfully complete a pre-employment drug screening. - Employment is contingent upon successful completion of a background check, as permitted by law.

• Design and implement data processing pipelines according to requirements, including steps for data transformation, validation, and mapping • Build necessary components to connect with various data sources and destinations, such as APIs, SQL databases, S3 buckets, and SFTP servers • Update and modify existing data flows within the ETL tool as needed • Conduct comprehensive testing and validation to ensure the accuracy of data transformations, verification, and final delivery • Create and execute unit and regression tests • Provide post-deployment support and resolve any issues that arise

• Lead and manage the Azure DataOps function, ensuring smooth daily operations, incident resolution, and performance stability across production data platforms. • Oversee data pipeline orchestration and automation using Azure Data Factory (ADF), Synapse Analytics, Databricks, and Logic Apps. • Implement CI/CD pipelines for data workflows using Azure DevOps or equivalent automation tools. • Drive incident, problem, change, and request management processes aligned with ITIL best practices. • Coordinate with L1/L2 support teams for escalations, RCA preparation, and client communication. • Maintain governance for data quality, access control, and compliance using Azure Purview, Key Vault, and RBAC. • Collaborate with Data Architects and Cloud Engineers to design scalable, resilient, and cost-efficient Azure data solutions. • Ensure 24/7 operational readiness through proactive alert monitoring, performance tuning, and preventive maintenance. • Contribute to automation initiatives using PowerShell, Python, or ARM templates to reduce manual efforts and improve system reliability. • Partner with customer stakeholders to report on SLAs, KPIs, RCA summaries, and provide technical recommendations for improvement. • Support onboarding and knowledge transition for new clients and ensure documentation consistency across environments. • Mentor and upskill the DataOps L1/L2 teams, fostering a culture of ownership, accountability, and process discipline.