Indegene - Senior Manager - Pharma Commercial/Omnichannel Analytics

Description :

We are seeking a dynamic and experienced Senior Manager Pharma Commercial Analytics to lead strategic analytics and omnichannel transformation initiatives for global pharmaceutical clients.

The ideal candidate should possess strong domain expertise in Omnichannel Analytics or at least two of the following areas :

1. Sales Force Analytics

2. Patient Analytics

3. Digital Analytics

4. Pharma Commercial Analytics

This role requires a blend of consulting, analytics, stakeholder management, and delivery leadership capabilities. The candidate will work closely with pharma clients to assess current ecosystems, define transformation roadmaps, implement data-driven solutions, and drive measurable business outcomes.

The role also demands strong understanding of pharma commercial functions, omnichannel engagement strategies, advanced analytics, data science, and scalable model deployment.

Key Responsibilities :

Client Consulting & Strategic Engagement :

- Work closely with pharmaceutical clients to understand business objectives, commercial strategies, and omnichannel transformation requirements.

- Lead discussions with stakeholders to define analytical and operational goals across commercial and digital functions.

- Serve as a trusted advisor to clients throughout the engagement lifecycle.

Omnichannel & Commercial Analytics

- Lead implementation of Omnichannel Analytics strategies and engagement measurement frameworks.

- Drive analytics initiatives across :

1. Sales Force Effectiveness

2. Patient Analytics

3. HCP Engagement Analytics

4. Digital Engagement Analytics

5. Commercial Performance Analytics

- Provide strategic insights and recommendations to improve commercial effectiveness and customer engagement.

Ecosystem Assessment & Solution Design

- Assess existing client ecosystems including :

1. Technical Architecture

2. Data Platforms

3. ML Models

4. Commercial Analytics Capabilities

5. Business Processes

- Collaborate with cross-functional teams to design scalable and integrated analytics solutions.

- Ensure seamless integration with existing enterprise systems and workflows.

Data Science & Advanced Analytics :

- Evaluate and work with structured and unstructured healthcare/pharma datasets.

- Support development and deployment of scalable analytics and ML models.

- Apply advanced analytics and data science methodologies to solve complex business problems.

- Ensure model scalability, performance, and operationalization.

Delivery & Program Leadership :

- Manage multiple client engagements simultaneously with effective prioritization and execution oversight.

- Lead cross-functional delivery teams across analytics, consulting, data engineering, and data science functions.

- Ensure high-quality delivery, client satisfaction, and operational excellence.

Capability Building & Innovation :

- Develop innovative analytical frameworks, accelerators, and reusable assets.

- Support internal capability building initiatives and mentor teams.

- Drive thought leadership through :

1. Whitepapers

2. Case Studies

3. Industry Articles

4. Internal Knowledge Sessions

- Monitor market trends and emerging technologies within pharma analytics and omnichannel transformation.

Business Development Support :

- Participate in client discussions and solutioning as a subject matter expert.

- Support capability presentations, proposals, and strategic business development initiatives.

Required Skills & Expertise :

Domain Expertise

- Strong expertise in :

1. Omnichannel Analytics

2. Pharma Commercial Analytics

3. Sales Force Analytics

4. Patient Analytics

5. Digital Analytics

Technical & Analytical Skills :

- Hands-on exposure to :

1. Advanced Analytics

2. Machine Learning Models

3. Customer Segmentation

4. Predictive Analytics

5. Engagement Analytics

6. Marketing Effectiveness Analytics

Data & Technology Exposure :

- Experience with :

1. SQL

2. Tableau / Power BI

3. Cloud Platforms (AWS/Azure/GCP)

4. CRM & Commercial Data Platforms

5. Data Visualization & Dashboarding