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.