Note: The job is a remote job and is open to candidates in USA. Inovalon delivers data-driven technology solutions designed to improve healthcare outcomes and economics. The Senior Manager, Data & Analytics Platform Engineering will own a centralized Power BI monitoring and reporting platform, including its data architecture, pipelines, infrastructure, reports, and DAX models. The role also leads and mentors an engineering team while partnering with Data Governance, Informatics, and Analytics stakeholders to support data quality, auditing, security, and regulatory requirements.
Responsibilities
- Data Architecture: Define the data architecture and schemas underpinning the platform, ensuring the structure supports governance, analytics, and informatics reporting needs across multiple business-critical systems
- Backend Platform Ownership: Design, build, and maintain ingestion pipelines and integrations connecting the platform to underlying source systems, ensuring data is accurate, timely, audit-ready, and structured to drive Power BI reporting
- Hands-On Flexibility: Step in to develop or troubleshoot Power BI reports and data models as needed to support the team, unblock delivery, or cover gaps
- Team Leadership & Mentorship: Hire, manage, and mentor a data operations team of engineers; set engineering standards and oversee architecture decisions across the team
- End-to-End Accountability: Own the platform's success from data architecture through to final report, ensuring pipelines, data models, and Power BI work together seamlessly to meet stakeholder needs
- Data Security & Sensitivity: Ensure the platform handles highly sensitive data appropriately throughout the full data lifecycle, in line with company policy and regulatory requirements
- Infrastructure & Scalability: Own the infrastructure supporting the platform (performance, capacity, and environment security), ensuring it scales reliably as data volume and stakeholder usage grow
- Stakeholder Partnership: Work directly with Data Governance, Informatics, and Analytics leads to understand monitoring, KPI, and audit-readiness requirements, and translate them into backend data models and pipeline design
- Engineering Standards: Lead the team in writing high-quality, testable code using a test-first approach where possible, and ensure all work meets an agreed "Definition of Done."
- Quality, Testing & Defect Resolution: Oversee creation of automated unit, system, and acceptance tests for data pipelines and services; lead design and code reviews; manage integration, testing, and deployment tasks; and ensure timely resolution of data and pipeline defects
- Agile Delivery: Drive end-of-iteration demos, retrospectives, and continuous team improvement; manage work through Agile tools (e.g., JIRA or similar) and participate in change management as scope evolves
- Documentation: Ensure documentation is written and maintained describing data architecture, pipeline logic, coding standards, testing, and changes
- Maintain compliance with lnovalon's policies, procedures and mission statement
- Adhere to all confidentiality and HIPAA requirements as outlined within lnovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position
- Fulfill those responsibilities and/or duties that may be reasonably provided by lnovalon for the purpose of achieving operational and financial success of the Company
- Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function
- We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such
Skills
- 10+ Years of data architecture and engineering experience required
- Proven track record building, leading, and growing high-performing engineering teams within an Agile development environment for 5+ years, with the ability to operate as both a hands-on individual contributor and a people manager
- Proven experience building and scaling large backend data platforms and pipelines that support BI/reporting layers
- Experience working with healthcare data specifically (e.g., claims, clinical/EHR, payer/provider data) strongly preferred; experience in another highly regulated industries considered
- Demonstrated ability to define data architecture and schemas, not just implement against them
- Strong proficiency in backend technologies (e.g., Java, Python, or similar) and data pipeline/ETL tools
- Experience with AWS data services and cloud-based data storage solutions
- Working proficiency in Power BI and DAX - strong enough to build, review, or troubleshoot reports
- Experience with modern DevOps/Agile practices (CI/CD, Git, JIRA or similar)
- Strong stakeholder management and communication skills, with experience partnering directly with non-technical business leaders
- Bachelor's Degree in Arts/Sciences (B.A./B.S.) in computer science, software engineering, information technology required
- This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
- Experience working with healthcare data specifically (e.g., claims, clinical/EHR, payer/provider data) strongly preferred
- Master's Degree in Arts/Sciences (M.A./M.S.) preferred
- CRISC certification Preferred
- Lean Six Sigma certification Preferred
Benefits
- This position may be eligible for performance-based incentives.
- Health insurance
- Life insurance
- Company-paid disability
- 401k
- 18+ days of paid time off
Company Overview