Associate Director, Commercial & Patient Analytics

KMK Consulting, Inc.; India; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

KMK Consulting, Inc. seeks an Associate Director of Patient and Commercial Analytics to lead complex engagements for pharma clients, driving patient- and market-level insights across brand, market access, and sales strategy.

You will own client relationships, oversee cross-functional teams of consultants and data scientists, and guide strategic decisions at the executive level. You will steer projects from data strategy to forecasting and commercialization insights, leveraging IQVIA, EHR, and

Qualifications

• 9+ years of experience in pharma, healthcare, or life sciences analytics
• 3+ years in a leadership role managing managers or senior teams
• Deep expertise in pharma data sources (claims, EHR, specialty pharmacy, hub data)
• Proven track record delivering patient journey, segmentation, forecasting, or sales-force analytics
• Experience with machine learning and GenAI in pharma analytics and reusable assets
• Strong statistics and data modeling foundation; proficient in SQL and at least one of Python or R
• Demonstrated ability to build executive-level client relationships and influence leadership
• Experience with business development, proposal leadership, or P&L in a consulting setting
• Bachelor’s degree; MS/MBA/PhD/PharmD/MPH strongly preferred

Responsibilities

• Own strategic client relationships and serve as primary senior contact for analytics programs.
• Lead patient journey analytics using diverse data sources and analytical methods.
• Direct commercial analytics work including sales force effectiveness, segmentation, forecasting, and launch tracking.
• Design segmentation and targeting frameworks linking patient insights to commercial action.
• Define scope, methodology and deliverables for multi-workstream engagements with rigor and documentation.
• Partner with attribution and measurement to integrate patient insights with MMM/MTA work.
• Build and manage the business: scope and price proposals, forecast utilization and revenue, manage budgets.
• Lead, coach, and develop managers and consultants, including staffing and performance management
• Contribute to thought leadership and analytics accelerators in patient and commercial analytics
• Ensure compliance with PhRMA, HIPAA, GDPR/CCPA and regional privacy laws

Skills

SQL

Python/R

Leadership

Executive relationships

GenAI in pharma analytics

Statistics & modeling

Forecasting analytics

Education

Bachelor’s degree in quantitative or business

Advanced degree preferred (MS/MBA/PhD/PharmD/MPH)

Tools

IQVIA

Symphony

Komodo

EHR data systems

Job description

Role Summary

We are seeking an Associate Director of Patient and Commercial Analytics to lead complex analytics engagements that help pharma and biotech clients understand patient journeys, optimize commercial performance, and make better decisions across brand, market access, and sales strategy. You will own client relationships and project outcomes across patient-level and market-level analytics, from data strategy and cohort design through forecasting, segmentation, and commercial insight delivery. You will also lead a cross-functional group of consultants, data scientists, and analysts, and serve as a senior advisor to commercial and medical leaders.

Key Responsibilities

• Own strategic client relationships and serve as the primary senior point of contact for commercial, brand, and market access leaders on analytics programs.

• Lead patient journey analytics using claims, EHR, specialty pharmacy, hub, and patient support program data, including patient identification, lines of therapy, treatment sequencing, persistence, and adherence analysis.

• Direct commercial analytics work covering sales force effectiveness, territory and customer segmentation, call plan optimization, forecasting, and launch performance tracking using IQVIA, Symphony, and similar data sources.

• Design and oversee segmentation, targeting, and prioritization frameworks for HCPs, HCOs, and payers, linking patient-level insights to commercial action.

• Define analytical scope, methodology, and deliverables for complex, multi-workstream engagements, ensuring rigor, reproducibility, and clear documentation.

• Partner with the firm's attribution and measurement practice to integrate patient and commercial insights with MTA, MMM, and incrementality work.

• Build and manage the business: scope and price proposals, forecast utilization and revenue, manage project budgets, and drive growth within existing client accounts.

• Lead, coach, and develop managers and consultants, including staffing, performance management, and career development.

• Contribute to thought leadership, proprietary tools, and the firm's analytics accelerators in patient and commercial analytics.

• Ensure all work complies with applicable regulations and internal standards, including the PhRMA Code, OPDP guidance, HIPAA, 42 CFR Part 2 where applicable, and regional privacy laws such as GDPR and CCPA.

• Lead advanced analytics use cases with clear business value, such as predictive patient finding, predictive segmentation, likely-to-switch or likely-to-discontinue models, and next-best-action inputs. Take each from proof of concept to scaled client delivery.

• Apply GenAI to speed up delivery and strengthen client offerings. Examples include extracting clinical detail from unstructured EHR notes, AI-assisted coding and QC, and conversational insight tools for brand teams. Make sure each use follows client data privacy and responsible-AI standards.

Required Qualifications

• 9 or more years of experience in pharma, healthcare, or life sciences analytics, with significant time in patient-level or commercial analytics.

• At least 3 years in a leadership role managing managers or senior teams in a client-service or consulting environment.

• Deep expertise in pharma data sources, including claims (e.g., IQVIA, Symphony, Komodo), EHR, specialty pharmacy, and patient support program data, and an understanding of their strengths and biases.

• Proven track record delivering patient journey, segmentation, forecasting, or sales force effectiveness work that drove measurable client decisions.

• Track record of using machine learning and GenAI in pharma analytics, and of turning these into reusable assets or new offerings for clients

• Strong analytical foundation in statistics and data modeling, with working proficiency in SQL and at least one of Python or R.

• Demonstrated ability to build and maintain executive-level client relationships and to influence commercial and medical leadership.

• Experience with business development, proposal leadership, or P&L responsibility in a consulting or agency setting.

• Bachelor's degree in quantitative or business discipline. An advanced degree (MS, MBA, PhD, or PharmD/MPH) is strongly preferred.

Preferred Qualifications

• Experience with patient-level data in rare disease, oncology, immunology, or other specialty therapeutic areas.

• Familiarity with hub services, patient support programs, and specialty pharmacy operations.

• Background in launch analytics, market access, or payer analytics.

• Publications, conference presentations, or industry thought leadership on patient or commercial analytics.

Core Competencies

• Strategic leadership: Connects analytics work to brand and business strategy and anticipates client needs.

• Client influence: Builds trust with senior executives and guides decisions with clear, defensible recommendations.

• Team development: Grows managers and consultants, sets high standards, and builds a culture of rigor and ownership.

• Business acumen: Understands pharma P&L drivers, launch dynamics, and the commercial decisions analytics must support.

• Operational excellence: Balances scope, quality, and profitability across a portfolio of engagements.