Managing Consultant - Data & Analytics - Healthcare [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Managing Consultant – Data & Analytics – Healthcare based in United States.

This role leads clinical quality analytics engagements that help healthcare organizations make better decisions around cost, quality, utilization, and provider performance. You will oversee qualitative and quantitative workstreams using complex claims and healthcare data to uncover actionable insights. The position combines hands-on analytics, healthcare subject-matter expertise, client relationship management, and team leadership. You will translate sophisticated analyses into practical recommendations and executive-ready presentations for senior stakeholders. The role also offers the opportunity to design scalable data pipelines, dashboards, reports, and analytical solutions across value-based care and clinical quality programs. You will work in a consulting environment where analytical rigor, clear communication, and high-quality client delivery are central to success. This is a fully remote, full-time opportunity with approximately 20% travel based on project and client requirements

Accountabilities:

• Lead clinical quality analytics workstreams, overseeing the design, execution, validation, and quality review of qualitative and quantitative analyses.
• Collect, integrate, validate, and analyze healthcare claims and related datasets to evaluate cost, utilization, quality, and provider performance.
• Design data-driven analyses supporting value-based care, pay-for-performance, and other clinical quality initiatives.
• Develop reproducible data pipelines, analytical code, dashboards, reports, and visualizations using appropriate programming languages and technology platforms.
• Translate complex analytical findings into clear insights, actionable recommendations, and compelling presentations for client executives and internal leadership.
• Apply appropriate analytical methodologies and research healthcare quality measures, program specifications, and industry guidance when established approaches are not available.
• Manage day-to-day client relationships and tailor communication appropriately to different audiences based on their technical expertise and responsibilities.
• Audit source data, analytical methodologies, and deliverables to identify inconsistencies, quality issues, risks, and opportunities for improvement.
• Independently manage assigned priorities, identify practical next steps and workarounds, and consistently meet client deadlines and quality expectations.
• Mentor junior team members in analytical methods, healthcare data, clinical quality concepts, and quality-control practices.
• Contribute to high-quality consulting engagements by combining healthcare expertise, technical judgment, analytical rigor, and strong client communication.

Requirements:

• You bring at least 5 years of experience in healthcare data and analytics, consulting, or a related healthcare industry role, with manager-level experience preferred.
• You hold a bachelor’s degree, master’s degree, or equivalent experience in analytics, computer science, economics, finance, accounting, statistics, econometrics, public health, engineering, or another relevant field.
• You have demonstrated experience analyzing healthcare claims data, including datasets such as MedPAR, Limited Data Set, VRDC, Merative, HCUP, all-payer claims, or Medicare-Medicaid claims.
• You have subject-matter expertise in value-based care, including cost and quality analysis, or clinical quality programs such as pay-for-performance.
• You are proficient in SQL, Snowflake, Python, and SAS.
• You are proficient with Git/GitHub, Snowflake, and Tableau.
• Experience with electronic medical record data, pharmacy data, provider data, or HealthVerity data is preferred.
• Experience with hospital quality measures and programs, such as AHRQ Quality Indicators, CMS 5-Star ratings, or U.S. News rankings, is preferred.
• Experience with PySpark or Truveta Prose is preferred, along with familiarity with Tuva, Databricks, or VRDC.
• You possess strong written and verbal communication skills and can present analytical findings clearly and confidently to client executives and internal leadership.
• You demonstrate strong analytical judgment, attention to detail, problem-solving ability, and the capacity to manage multiple priorities independently.
• You are comfortable working in a consulting environment where client needs, deadlines, and project priorities may evolve quickly.
• You are willing and able to travel approximately 20% based on project requirements and client expectations.
• You must be legally authorized to work in the United States without employer sponsorship.

Benefits:

• The position is full time and fully remote within the United States.
• The salary range is $120,000–$165,000, with final title and compensation determined based on qualifications and experience.
• The role offers the opportunity to work on complex healthcare analytics engagements with meaningful impact on clinical quality, cost, utilization, and provider performance.
• You will have opportunities to develop expertise across healthcare data, analytics, value-based care, and clinical quality transformation.
• The position provides exposure to senior client stakeholders and opportunities to strengthen executive communication and consulting skills.
• You will have opportunities to mentor junior professionals and contribute to the development of high-quality analytical practices.
• The role combines technical analytics, healthcare subject-matter expertise, client advisory work, and leadership in a collaborative consulting environment.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.