Manager, Health Care Data Engineering

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    "ExternalDescriptionStr": "<p style=\"line-height: normal; margin-bottom: 0in;\">HealthPartners is hiring a <strong>Manager, Health Care Data Engineering</strong>.&nbsp;At HealthPartners, the mission is to provide simple and affordable healthcare. The organization uses data to improve patient and member experiences, enhance health outcomes, and reduce the overall cost of care.</p><p style=\"line-height: normal; margin-bottom: 0in;\">The Data Engineering Manager leads a team responsible for building and optimizing data pipelines that support analytics, reporting, and enterprise decision-making. This team brings together data from multiple systems, standardizes it, and delivers reliable, usable data across the organization.</p><p style=\"line-height: normal; margin-bottom: 0in;\">In this role, the manager coaches and supports a team of engineers and analysts working in agile environments, ensuring the delivery of high-quality, scalable data solutions. The position partners closely with internal IT teams, manages vendor relationships, and supports work that spans finance, actuarial, clinical, and operational areas.</p><p style=\"line-height: normal; margin-bottom: 0in;\">The role oversees a team of 8 to 12 team members and reports to the Director of Enterprise Information Management. It plays a key part in advancing the transition to modern, cloud-based data platforms while maintaining strong operational performance and data quality.</p><p style=\"line-height: normal; margin-bottom: 0in;\">This role has enterprise-wide impact by enabling teams across HealthPartners to access trusted data that drives insights, decision-making, and improved health outcomes.</p><p style=\"line-height: normal; margin-bottom: 0in;\"><strong><u>Required Qualifications:</u></strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Bachelor’s degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field, or equivalent combination of education and experience.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Ten (10) years of progressive technology experience, including at least five (5) years with expert-level knowledge in one or more of the following domains: data management, software engineering, or infrastructure and operations (I&amp;O).</li><li style=\"line-height: normal; margin-bottom: 0in;\">Four (4) years of experience in business analytics, data science, software development, or data modeling&nbsp;</li><li style=\"line-height: normal; margin-bottom: 0in;\">Five (5) years of technology leadership experience</li><li style=\"line-height: normal; margin-bottom: 0in;\">Experience working within the healthcare industry, with an understanding of healthcare data, systems, and/or regulatory environments.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Proficiency in leveraging AI tools (e.g., Microsoft Copilot) to enhance productivity, streamline workflows, and support data-driven solutions.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Knowledge of Microsoft cloud architecture and scalable solutions including service and container orchestration</li><li style=\"line-height: normal; margin-bottom: 0in;\">Demonstrates a high level of motivation and self-direction, with strong curiosity, creativity, and a proactive approach to problem-solving.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Demonstrates effective communication skills, with the ability to effectively collaborate with end users and engage with business leaders.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Demonstrates the ability to effectively support and collaborate within a diverse development and/or operations team environment.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong><u>Preferred Qualifications:</u></strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">Experience with Microsoft ecosystem tools including Azure, Power BI, Copilot, and Databricks.&nbsp;</li><li style=\"line-height: normal; margin-bottom: 0in;\">Exposure to agile/scrum</li><li style=\"line-height: normal; margin-bottom: 0in;\">Collaborate effectively with product management, program management, engineers, and stakeholders.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Excellent analytical and critical thinking skills</li><li style=\"line-height: normal; margin-bottom: 0in;\">Ability to influence without authority and thrive in an ambiguous environment.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Excellent change-management and navigation skills</li><li style=\"line-height: normal; margin-bottom: 0in;\">Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.)</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong><u>Hours/Location:</u></strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">M-F; core business hours</li><li style=\"line-height: normal; margin-bottom: 0in;\">The position follows a hybrid work model, with an expectation of onsite presence Tuesday through Thursday at the Bloomington corporate office.</li><li style=\"line-height: normal; margin-bottom: 0in;\">This role does not have a formal on-call rotation; however, the manager serves as an escalation point and may occasionally be required to address issues outside of standard business hours.</li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><strong><u>Responsibilities:</u></strong></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: normal; margin-bottom: 0in;\">All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Build and lead a multidisciplinary “center of excellence” team of data engineers, machine learning engineers, automation specialists; inspire a culture of collaboration and support.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Serve as a system-wide thought leader on data lake strategy, ensuring alignment with strategic priorities of the plan, care group, and institute.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Support workforce management (across the entire employment continuum) for a team of data engineers.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Support and consult on our technology teams’ data pipeline and AI deployments to ensure safe, equitable, and compliant adoption of AI across the enterprise.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Work with direct reports, stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand.&nbsp;</li><li style=\"line-height: normal; margin-bottom: 0in;\">Partner with compliance, privacy, and security teams to ensure adherence to HIPAA, CMS, ONC, FDA, and research ethics requirements.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Collaborate with project team members (Product Owners/Managers, Engineering Leads, Data Scientists, Managers) to build efficient data driven platforms.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Present technical solutions, capabilities, considerations, and features in business terms, effectively communicate status, issues, and risks in a precise and timely manner.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Establish the technology roadmap and strategy within the team and across the organization.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Guide, mentor, influence, and adopt a cloud-first modern data architectural direction and consistently adopt the associated standards and best practices.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Support incident management and resolution best practices.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Support budgeting and capital planning efforts relating to data pipeline development.</li><li style=\"line-height: normal; margin-bottom: 0in;\">Perform other duties as required, to meet division goals.</li></ul>",
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