Manager, Data Shared Services

Manager, Data Shared Services The Manager, Data Shared Services (DSS) leads a team of Analytics Developers responsible for delivering enterprise data products, dashboards, semantic models, and analytics‑ready datasets. This role provides people and technical leadership, ensuring the delivery of trusted, scalable analytics solutions that support organizational decision‑making. Position Summary In this role, you will partner with business leaders, data engineers, data scientists, and other stakeholders to translate business needs into actionable analytics products while advancing data governance, platform adoption, and continuous improvement. Key Responsibilities Leadership Build and develop a high‑performing analytics team through strategic hiring, mentoring, coaching, and succession planning aligned with organizational objectives. Manage team priorities, resource allocation, and delivery commitments. Establish and maintain development standards, quality practices, and documentation requirements. Analytics & Technical Delivery Oversee the design, development, and deployment of dashboards, semantic models, datasets, and other analytics products. Provide technical leadership in data modeling, analytics engineering, and business intelligence development. Ensure solutions meet enterprise standards for performance, scalability, security, and governance. Partner with Data Engineering teams on data integration and platform initiatives. Stakeholder & Program Management Serve as a strategic partner to operational, clinical, and administrative leaders, aligning analytic priorities with organizational goals and translating business needs into actionable solutions. Communicate project status, risks, and recommendations to stakeholders and leadership. Drive continuous improvement through adoption of modern analytics practices, AI‑assisted development tools, and data governance standards. Required Qualifications Education Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Public Health, Biomedical Informatics, or a related field. Experience 5+ years of experience in analytics, business intelligence, analytics engineering, or data engineering. 2+ years of experience leading, mentoring, or managing technical analytics teams. Advanced SQL and dimensional data modeling skills. Experience developing enterprise Power BI solutions, including DAX, Power Query, semantic models, security, and performance optimization. Experience delivering analytics solutions in healthcare or other regulated environments. Certification Epic Cogito Certification required upon hire or within six (6) months of employment. Preferred Qualifications Master's degree in Computer Science, Data Science, Information Systems, Statistics, Public Health, Biomedical Informatics, Business Administration (MBA) or a related field. Experience with Epic Clarity and Caboodle. Knowledge of healthcare data standards, including HL7 FHIR, ICD‑10, CPT, and LOINC. Experience with cloud platforms, DevOps practices, and data governance tools. Experience with Python, R, or other analytical programming languages. Familiarity with Agile delivery, product management, and AI‑assisted analytics development. Must live within a commutable distance to NYP and work on‑site; not mandatory mandatory mandatory not reimbursed for travel expenses. NewYork-Presbyterian Hospital is an equal opportunity employer. Salary Range $139,000-$193,000/Annual It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works. #J-18808-Ljbffr NewYork-Presbyterian Hospital