Find your calling at Mercy!The Manager of Analytic Engineering leads a team of Analytic Engineers responsible for designing, developing, and maintaining scalable data products and analytic solutions. This role combines technical leadership, people management, and strategic execution to ensure analytic products meet enterprise standards and drive business value. The Manager fosters a culture of innovation, quality, and collaboration empowering the team to deliver high-performing, cloud-based data pipelines and visualization products that support decision intelligence across the organization.
Position Details:Manager - Analytics EnterpriseMercy Enterprise Analytics *Please note that as of the posting date of this job announcement, Mercy is unable to offer immigration sponsorship or visa assistance for this position. We encourage all eligible candidates, including U.S. citizens, permanent residents, and those with existing work authorization, to apply.The Manager of Analytic Engineering leads a team of Analytic Engineers responsible for designing, developing, and maintaining scalable data products and analytic solutions. This role combines technical leadership, people management, and strategic execution to ensure analytic products meet enterprise standards and drive business value. The Manager fosters a culture of innovation, quality, and collaboration empowering the team to deliver high-performing, cloud-based data pipelines and visualization products that support decision intelligence across the organization.
Required Qualification(s):- Education: Degree in computer science, software engineering, data analytics, technology, or related field experience.
- Experience: Ten (10) years of relevant technical or business work experience, including at least three (3) years of people leadership or team management experience in analytics or data engineering.
Preferred Qualification(s):Analytical Tools and Decision Intelligence
- Lead the design, development, and implementation of analytic products
- Ensures teams deliver high-quality visualizations, dashboards, and reports using Power BI, Databricks, Power Apps, EPIC Cogito, and related tools.
- Guides the team in applying best practices for CI/CD, testing, and analytic solution delivery.
- Partners with business stakeholders to ensure alignment between analytic solutions and strategic objectives.
Data Infrastructure Development
- Manages the development of semantic models, and data products.
- Defines technical standards and enforces best practices for performance, scalability, and governance.
- Collaborates to ensure team solutions align with enterprise architecture frameworks.
- Oversees migration, modernization, and optimization of analytic environments.
Team Leadership and Development
- Leads, mentors, and develops a team of Analytic Engineers across various experience levels.
- Creates professional growth pathways and fosters technical excellence through coaching and performance management.
- Builds a high-performing culture focused on innovation, continuous improvement, and data stewardship.
- Plans and prioritizes development efforts, ensuring timely and quality delivery of analytics projects.
Collaboration and Communication
- Serves as the bridge between business stakeholders, data scientists, architects, and IT teams.
- Translate complex business needs into actionable data and analytic strategies.
- Communicates technical topics to non-technical audiences through clear data stories and visual narratives.
- Collaborates across departments to promote shared data standards, transparency, and accountability.
Community of Practice
- Promotes self-service analytics and data literacy through training and standards.
- Contributes to the Analytics Community of Practice by sharing lessons learned and frameworks.
- Helps define best practices, reusable assets, and frameworks that elevate the analytic engineering discipline across the enterprise.
Data Governance and Compliance
- Ensures adherence to governance, privacy, and security policies.
- Partners with data stewards to maintain metadata, lineage, and data quality documentation.
- Supports auditing, usage monitoring, and compliance with organizational standards.
Mercy Key Benefits:- Tuition Reimbursement up to $2,000 for continuing education
- Health/Dental/Vision available after day one
- Annual contribution of $100 per month to eligible co-workers enrolled in the Dependent Care FSA
- Paid parental leave for new parents
- 401k with employer match
- Paid PTO for volunteering
- Competitive salary
- Future career growth!
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EEO/AA/Minorities/Females/Disabled/Veterans
Why Mercy?From day one, Mercy offers outstanding benefits - including medical, dental, and vision coverage, paid time off, tuition support, and matched retirement plans for team members working 32+ hours per pay period.
Join a caring, collaborative team where your voice matters. At Mercy, you'll help shape the future of healthcare through innovation, technology, and compassion. As we grow, you'll grow with us.
keyword(s): Power BI, Databricks, AI, Python, SQL
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