Data Science Manager

• Opportunity Overview: We are seeking a

Technical, Hands-on Manager

to lead a team in building

AI-driven healthcare enterprise applications

. In this role, you will combine

strong people leadership

with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact.

As a leader who is still

technically involved

, you will

mentor

and

manage

data scientists and analysts while having the ability to guide the team through

evaluating, selecting, and implementing the right models

, paired with an understanding of

end to end workflow

and ensure the

delivery of scalable AI solutions

.

This position requires excellent

communication

and

collaboration

skills as you partner closely with internal

stakeholders

and

cross‑functional engineering, product, and clinical teams

. In our fast-paced environment,

adaptability

is key—your ability to reprioritize quickly and lead your team through evolving business needs will ensure maximum impact

• What you’ll do: - Lead, mentor, and develop a high‑performing team of Data Scientists and ML Engineers, ensuring strong execution and continuous skill advancement.

• Contribute to event‑driven architecture design and implementation, enabling asynchronous processing and large‑scale system integration.

• Work seamlessly across functions—partnering with Data Scientists on model tuning, experimentation, and prompt design; collaborating with Product and Software Engineering to embed AI/ML into user-facing applications; engaging with DevOps/Platform Engineering on environment setup, CI/CD, monitoring, and reliability; and working with Data Engineering on pipeline design and ingestion strategies.

• Provide technical leadership in the effective use of AWS services such as Lambda, EC2, EMR, S3, Athena, Batch, Textract, Comprehend, Bedrock.

• Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams.

• Conduct code reviews, provide architectural direction, and champion SDLC best practices, while balancing leadership responsibilities with hands‑on technical contributions to ensure timely, high‑quality delivery.

• ISMS roles and responsibilities: - 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.

• Required Qualifications: - 7+ years of overall professional experience delivering data-driven AI/ML-focused solutions. 3+ years of direct team management experience, leading Data Scientists, ML Engineers, or similar technical roles.

• Hands-on experience in Python with strong proficiency in libraries such as Pandas, NumPy, SciPy, Matplotlib, and regular expressions. Advanced SQL querying and optimization for large datasets.

• Practical experience in training, tuning, and testing ML algorithms (e.g., SVM, CART, Bagging, Boosting) and text mining techniques; familiarity with modern ML/DL approaches.

• Experience with prompt engineering and leveraging GenAI for classification, data enrichment, semantic embeddings, and innovative AI-driven solutions.

• Experiment and rapidly prototype design frameworks, validate hypotheses efficiently, and iterate on AI/ML models to support fast-paced development.

• Strong knowledge of Object-Oriented Programming (OOP) and experience creating custom Python packages for serverless applications.

• Hands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend.

• Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration of AI/ML capabilities into production systems

• Excellent communication and storytelling skills, capable of translating complex AI/ML concepts into clear, actionable insights for leadership, stakeholders, and non-technical partners.

• Ownership mindset with end‑to‑end accountability, ensuring delivery from concept to deployment to monitoring—while continuously identifying risks, blockers, and opportunities for improvement.

• Good to have: - Background in healthcare payment integrity, clinical data workflows, or payer/provider analytics.

• Strong thought leadership in AI/ML, including guiding stakeholders on feasibility, risk, architecture, and adoption strategy.

• Prior experience in deploying LLM‑powered production features,optimize prompting strategies, transforming experimental prototypes into robust, scalable services delivered through well‑defined APIs.

• Familiarity with compliance, governance, and security best practices for healthcare data (HIPAA, PHI handling, logging, auditing).

• Ability to commute/relocate: - Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)Interview Process:*

• Connect with the Hiring Manager for a Preliminary Phone Screening

• 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.