About CustomerInsights.AI

CustomerInsights.AI is a global analytics and AI-driven company founded in 2018, focused on enabling better commercial decision-making for Life Sciences organizations. Our product ecosystem, including ciPARTHENON and ciATHENA, leverages Analytics Automation, Artificial Intelligence, and Machine Learning to deliver faster, actionable insights to key stakeholders. With teams across North America and India, we partner with organizations ranging from startups to large enterprises.

Role Overview

We are looking for an experienced Manager / Senior Manager (7-12 Years) with strong expertise in Life Sciences, Market Access, and Payer Analytics, complemented by hands-on exposure to Machine Learning (ML) and Natural Language Processing (NLP).

The ideal candidate will operate at the intersection of domain expertise, advanced analytics, and client engagement, working directly with Payer and Access Enablement stakeholders to translate complex business requirements into practical, scalable ML/NLP solutions.

This role will also be responsible for identifying additional opportunities where predictive modeling, NLP, and other machine-learning approaches can create measurable business value across existing and new client engagements.

Key Responsibilities

Payer & Market Access Expertise

- Lead analytics initiatives across Payer, Market Access, and Access Enablement engagements within the Life Sciences industry.
- Apply solid understanding of the US healthcare ecosystem, including payers, PBMs, formulary/access dynamics, reimbursement, patient access, and related commercial considerations.
- Translate complex Market Access business problems into structured analytics and data science use cases.
- Partner with business and analytics teams to define appropriate success metrics and actionable outputs.





ML/NLP & Advanced Analytics

- Work closely with Data Science and Engineering teams to design and deliver ML/NLP-driven solutions for Payer and Market Access use cases.
- Apply or guide approaches involving predictive modeling, classification, segmentation, text analytics, NLP, feature engineering, and model interpretation.
- Identify opportunities to leverage structured and unstructured healthcare data to generate actionable insights.
- Evaluate the feasibility and business value of proposed ML/NLP use cases before development.
- Provide enough hands-on technical depth to challenge assumptions, review analytical approaches, and effectively communicate model outputs to business stakeholders.

Client Engagement & Consulting

- Act as a senior client-facing owner for Payer and Access Enablement analytics engagements.
- Understand client business challenges and translate them into analytics, ML, and NLP solution opportunities.
- Present analytical approaches, findings, recommendations, and solution roadmaps to senior client stakeholders.
- Proactively identify and pitch additional ML/NLP use cases within existing client engagements.
- Build trusted relationships with business, analytics, and technology stakeholders.

Delivery & Team Leadership

- Own projects from problem definition and solution design through execution and client delivery.




- Collaborate with cross-functional teams comprising Data Scientists, Data Engineers, Analysts, and domain SMEs.
- Mentor team members and provide guidance on both analytical problem-solving and Market Access context.
- Ensure solutions are scalable, analytically sound, and aligned with business outcomes.

Required Experience & Skills

- Strong professional experience within Life Sciences / Pharmaceutical analytics or consulting.
- Deep experience in Market Access, Payer Analytics, or Access Enablement.
- Demonstrated experience managing client-facing analytics engagements.
- Hands-on exposure to Machine Learning and/or NLP, beyond purely conceptual or managerial oversight.
- Experience translating business problems into analytical or ML-based solutions.
- Familiarity with techniques such as:
- Predictive modeling
- Classification and regression
- Segmentation / clustering
- NLP and text analytics
- Feature engineering
- Model evaluation and interpretation
- Working knowledge of Python and SQL is strongly preferred.
- Strong analytical storytelling and presentation skills.
- Ability to communicate technical concepts effectively to non-technical business stakeholders.
- Strong stakeholder management, consulting, and problem-solving skills.

Preferred Qualifications

- Experience working with US pharmaceutical / healthcare clients.
- Exposure to payer, formulary, reimbursement, patient access, claims, or related healthcare datasets.
- Experience identifying and developing new analytics or ML use cases within existing client relationships.
- Exposure to modern NLP approaches, including transformer-based models, embeddings, or LLM-enabled analytics, would be an advantage.
- Previous experience leading small to mid-sized analytics or Data Science teams.

📌 Manager/Senior Manager (Hyderabad)
🏢 CustomerInsights.AI
📍 Hyderabad