Manager, Data Analytics

Opportunity Overview:

Lead analytics and clinical configuration strategy for our auto-decisioning platform, driving end-to-end solutions from data gathering through scaled deployment. Partner cross-functionally to translate business needs into analytical frameworks, independently recommending actions that shape product and business outcomes. Own auto-decisioning strategy for new client implementations with minimal oversight, while ensuring explainable, governance-aligned analytics practices. Build and mentor a high-performing team, embedding best practices for scalable, reusable analytics solutions. Ideal for a strategic thinker who thrives at the intersection of hands-on execution and team leadership in a fast-paced, data-driven environment.

What you’ll do:

Provide thought leadership & strategic thinking to translate business problems into analytical and clinical configuration frameworks,and independently recommend actions and provide business insights

Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analytic solutions that includes data gathering, analysis, ongoing scaled deliverables, and presentations

Establish and maintain effective performance tracking; identify product and program improvement opportunities, form hypotheses, propose, design and implement tests to drive enhancement and optimization

Foster a collaborative and innovative culture, set clear goals, mentor staff.

Establish best practices and coach team members to develop and execute complex analytics initiatives with scalability and reusability in minds

Develop, implement, and monitor day-to-day operations of analytics and clinical configuration team

Execute analytics initiatives that directly impact our auto decisioning roadmap and business outcomes while working as part of a cross-functional team.

Partner with Data Governance to ensure tractable and explainable analytics and responsible data

Research, design, execute and optimize auto-decisioning strategy for new client implementations with minimal guidance and owning the end-to-end process

Work with multiple types of healthcare data to build and maintain analytical and reporting solutions to support strategy and program decision making 

Identify optimization opportunities based on analyses to improve auto-decisioning performance and drive increased value for clients 

What you’ll need:

5+ years of hands on management experience in healthcare analytics

7+ years of experience in data science, analytics, and governance with at least 2 years of management experience hiring and developing teams

Strong software development skills with proficiency in Python and SQL. Experienced user of data science libraries

Proven track record in building and scaling data analytics teams, including recruitment, mentoring, and performance management.

Ability to meaningfully present results of analyses in a clear and impactful manner. Able to break down sophisticated machine learning and data science model knowledge to digestible information for non-technical audiences.

Expertise in translating complex business problems into end-to-end data products with a quantifiable business impact

Nice-to-haves

Advance degree (MS or Ph.D.) in a quantitative field, Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, Data Science.

Solid understanding and experience in machine learning algorithms, statistics, pattern recognition, classification, and data mining models.

Comprehensive knowledge of the healthcare industry, products, systems, business strategies and products.

Experience designing patient and provider analysis strategy and generate actionable insights from claims, emr and/ or lab  data

What you’ll do:

1. Lead the analytics and clinical configuration team day-to-day — setting goals, mentoring staff, and coaching best practices for scalable, reusable analytics work.

2. Own the end-to-end auto-decisioning strategy for new client implementations, from research and design through execution and optimization, with minimal guidance.

3. Translate business problems into analytical and clinical configuration frameworks, build end-to-end analytic solutions (data gathering, analysis, scaled deliverables, presentations), and track performance to identify improvement opportunities.

ISMS roles and responsibilities( Manager Roles)

Good knowledge of Information security

Oversee specific business processes within the ISMS.

Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans.

Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility.

They are also responsible for implementing risk treatment plans.

Conduct the BCP and other test related to information security continuity along with CISO

Responsible for monitoring and reporting on the performance of the ISMS.

Responsible for implementation of security policies and procedures and report any issues to the CISO.

Ability to commute/relocate:

Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

Connect with Talent Acquisition 

Meet with the Hiring Manager

Behavioral Interview(s)

Case Study

Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. 

With the acquisition of ZignaAI, we expanded our AI-native platform with a comprehensive Payment Integrity Suite that spans data mining, clinical and coding validation, authorization and claims reconciliation, and end-to-end payment integrity services across pre- and post-pay workflows. By connecting clinical and payment insights, our transparent, AI-powered solutions help health plans proactively improve payment accuracy, reduce waste and vendor dependency, strengthen provider relationships, and build smarter, more efficient payment integrity programs.

Cohere Health’s innovations continue to receive industry-wide recognition. We’ve been recognized on TIME’s World Top HealthTech Companies 2025 list, the 2025 Inc. 5000 list, in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement:

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.