[Hiring] Senior Business Process Analyst @Aptive

Role Description

The Senior Business Process / Business Analyst will serve as the authoritative quantitative lead for the EHRM Rapid Decision Making Program. This role owns end-to-end analysis of complex business processes and outcomes, translating raw data into actionable, statistically rigorous metrics that drive program decisions, resource allocation, and organizational value.

• Lead independent, authoritative analysis of current and future-state EHRM business processes, identifying inefficiencies, bottlenecks, and leverage points using quantitative methods.
• Design, implement, and maintain statistically valid outcome measurement frameworks that quantify program impact (e.g., ROI, cycle time reduction, error rates, adoption velocity, clinical and operational KPIs).
• Translate complex program outcomes from the CPMO/OCI team into clear, math-based metrics that are traceable to organizational strategic objectives.
• Apply advanced statistical techniques (regression, hypothesis testing, confidence intervals, predictive modeling, etc.) to validate assumptions, forecast outcomes, and measure program performance with mathematical rigor.
• Develop and own program-level dashboards and scorecards that provide real-time, tangible visibility into progress against targets.
• Conduct deep-dive root-cause analyses using data-driven methods to support rapid decision-making cycles.
• Utilize project management tools (boards, epics, metrics, custom fields, reports, and dashboards) to capture, track, and report on all process and outcome data.
• Drive Agile and Lean Portfolio Management (LPM) practices to ensure backlog prioritization, capacity planning, and value delivery are grounded in quantitative evidence.
• Partner with technical and clinical teams, working closely with and reporting to our Principle Agilist to embed metrics directly into project management workflows and program ceremonies.
• Apply strong program management disciplines to ensure analytical deliverables are on-time, on-budget, and aligned with EHRM governance requirements.
• Facilitate cross-functional workshops and decision forums, presenting quantitative findings with authority to senior leadership.
• Continuously improve the program’s measurement maturity by identifying and implementing new data sources and analytic methods.
• Serve as the trusted advisor to the CPMO/OCI team and EHRM program leadership.
• Translate statistical insights into clear business narratives and visuals that influence decisions, resource allocation, and policy changes.

Qualifications

• Bachelor’s degree in Business, Statistics, Operations Research, Industrial Engineering, Health Informatics, or related quantitative field (Master’s or MBA strongly preferred).
• Minimum 8 years of progressive experience as a Business Analyst or Process Analyst, with at least 4 years in a senior/lead capacity focused on quantitative process and outcomes analysis.
• Demonstrated expertise in statistical analysis and outcomes measurement (proficiency with R, Python, SQL, or advanced Excel/Power BI/Tableau required).
• Proven ability to define and operationalize tangible, mathematically sound metrics that drive executive decisions.

Requirements

• Expert-level hands-on experience with Jira (administration, advanced reporting, metrics configuration, and integration with Agile/LPM frameworks).
• Strong project/program management skills with a track record of delivering complex, data-driven initiatives on time and within scope.
• Excellent verbal and written communication skills, including the ability to present complex quantitative analysis to non-technical audiences.

Desired Qualifications

• Health/medical background or direct experience supporting Electronic Health Record (EHR/EHRM) programs, clinical operations, or healthcare transformation initiatives.
• Deep, practical understanding of EHRM systems, workflows, and the unique challenges of large-scale health-record modernization.
• Formal training or certification in Agile (SAFe, Scrum) and Lean Portfolio Management (LPM).
• Experience working within federal government or large-scale enterprise environments (VA, DoD, or similar).
• Familiarity with healthcare-specific metrics (e.g., clinical quality measures, patient safety indicators, provider efficiency, interoperability KPIs).

Success Factors

• You thrive in fast-paced, ambiguous environments and can step in on Day 1 with authority.
• You possess an uncompromising quantitative mindset — every claim must be backed by defensible math and data, and you know how to obtain that data.
• You are a natural collaborator who can influence without direct authority while maintaining the highest standards of analytical integrity.