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Job Summary: We are seeking a dynamic and experienced Manager to join our team who will play a pivotal role in understanding client requirements, assessing existing ecosystems, and leading the implementation for our pharma client.
Key Responsibilities
Work closely with clients to comprehend their requirements and varied objectives including (but not limited to) implementation of Omnichannel strategy to build a Next Best Action Engine
Lead the assessment of existing ecosystems across key pillars, including client business portfolio plans & objectives, technical architecture, data models etc.
Collaborate with cross‑functional teams to design and implement the optimal solution, ensuring seamless integration with existing processes
Leverage pharma industry exposure to provide strategic insights and recommendations for stated client objectives
Demonstrate proficiency in understanding and working with diverse datasets, and assess their suitability for integration into the proposed solution
Apply data science skills to ensure robust and scalable model deployment
Foster strong client relationships, serving as a trusted advisor and ensuring client satisfaction throughout the implementation process
Provide training and support to internal teams to ensure smooth and continued success on project implementations
Handle multiple projects at any point in time, ensuring that progress is made across all the projects, with appropriate prioritization and workload distribution within the team
Develop and disseminate innovative analytical techniques, processes and tools, that can be leveraged across projects / engagements
Support business development activities by building new capabilities and participating in client meetings as a subject matter expert
Provide thought leadership by contributing to whitepapers and articles at the BU and organization level
Monitor industry trends and implement best practices to improve in‑house capabilities
Qualifications
Bachelor's degree in Computer Science, or related field (Master's degree preferred).
Overall 8+ years of experience and 5+ overall years of experience in leading analytical projects in pharma domain.
Experience in pharma omnichannel analytics or in at least 2 among sales force analytics, patient analytics, digital analytics, commercial analytics domains.
Experience in Advanced analytics including AI, machine learning, predictive modelling, advanced analytics and statistics modelling, MLOps is a plus.
Strong understanding of the pharma ecosystem and familiarity with key data sources, industry trends, and compliance requirements.
Experience in areas of risk‑score modelling, customer segmentation, impact assessment, attribution analytics, collaborative filtering, marketing mix modelling, recommendation engines and natural language processing will be an added advantage.
Exceptional client management and communication skills, with a demonstrated ability to build and nurture relationships.
Strong analytical and problem‑solving abilities, with a keen attention to detail and willing to learn in a fast‑paced environment.
Excellent project management skills, including the ability to prioritize tasks, manage timelines, and deliver on commitments.
Willing to work in a highly demanding and result‑oriented team environment.
Excellent communication skills; able to grasp and communicate complex ideas clearly.
Good to have EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.
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Sprachkenntnisse
- English
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