Sr. Manager, Medical Informatics
Your Role
The Healthcare Quality Affordability (HQA) Analytics team plays a key role in discovering information hidden in vast amounts of data that can lead to smarter decisions and deliver better service for our customers and contain the rising cost of healthcare. The Population Health Senior Manager, will report to the Director of HQA Analytics. Your focus will be leading a team of population health and behavioral health analysts while also contributing directly to complex, high-impact analytics initiatives. This role is responsible for translating business and clinical priorities into actionable analytic strategies, developing team capabilities, and delivering insights that inform population health investments, executive decision-making, and improvements in outcomes, utilization, equity, and affordability across lines of business.
Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow – personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.
Your Work
In this role, you will:
Manage a small to mid-sized team consisting of experienced population health analysts as well as behavioral health analysts
Oversee the analysis and reporting as well as the design and development of systems based on business requirements and needs
Own the design and execution of complex population level analytic agendas addressing high priority organizational questions (e.g., cost drivers, utilization patterns, disparities, program impact).
Define analytic frameworks and methodologies for population segmentation, risk stratification, and evaluation goals that are reusable, scalable, and aligned with enterprise population health strategy.
Serve as a subject matter expert in population health analytics, advising senior leaders on interpretation of findings and strategic implications.
Lead analyses across large, complex healthcare datasets (claims, enrollment, pharmacy, demographic, and community level data) to identify trends, risks, and opportunities at scale.
Develop and oversee member archetypes, clusters, and predictive insights to support targeted interventions, care management, and outreach strategies.
Integrate health equity and social drivers of health into analytic approaches to ensure insights address disparities and underserved populations
Assess business risks associated with analytical processes and data systems and proactively implements solutions to mitigate risks
Oversee the reliability of data and the validity and accuracy of analytical results
Describe the significance of analytic results for business decision-making and makes recommendations to senior management and external entities
Your Knowledge and Experience
Requires a college degree or equivalent
Requires 10 years of experience in Health Care (managed care, academic, or government payer) including 4 years of management experience
Proficient in Python or R for healthcare data analysis, statistical modeling, and visualization
Ability to function independently and produce results that meet standards of quality, timeliness, and acceptability
Problem-solving skills balanced between “analytical” and “intuitive”
Ability to thrive in ambiguous situations
Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of executives, directors, managers, and subject matter experts
Ability to establish and maintain effective and collaborative relationships with key stakeholders
Advanced skills using Microsoft Excel, Word, Visio, and PowerPoint in preparing and making presentations to various levels of management.
Technically proficient having broad background in problem solving tools
Knowledge of Blue Shield of CA or similar health care organization structure
Extensive knowledge of CPT, HCPCS, ICD-10s and other related industry codes
Hybrid
This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into office two days each week.
Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.