Associate Manager - Data & Analytics

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations be future ready. We offer accelerated, global growth opportunities for talent that s bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship, and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com
What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it?
We understand that you are looking for growth in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We believe in creating leaders of tomorrow and mentor our leads to help them grow and nurture them as people managers and account managers.
We are a rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of this will lead to a truly differentiated experience for you.
If this excites you, then apply below.

Associate Manager - Data & Analytics

You are responsible for :
Overview - 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
Lead the assessment of existing ecosystems across key pillars, including client 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 pharma datasets, and assess their suitability for integration into the proposed solution
Apply data science skills, with expertise in MLOps being a significant plus, 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

Desired Skills:
Qualifications:
Bachelors or Master s degree in Computer Science, Data Science, Pharmaceutical Sciences
8+ overall years of experience in leading analytical projects in pharma domain
5+ years of experience advanced analytics including AI, machine learning, predictive modelling, advanced analytics and statistics modelling
Experience in pharma commercial analytics is a plus
Proven track record of successfully implementing omnichannel strategy or similar technologies in the pharmaceutical or related industry
Strong understanding of the pharma ecosystem and familiarity with key data sources (Digital, sales, CRM, APLD), industry trends, and compliance requirements
Excellent understanding of machine learning techniques and algorithms, such as XGBoost, Random Forest, Linear, Logistic Regression, k-NN, Naive Bayes, SVM, Decision Trees, Neural Nets, Transfer Learning, NLP etc
Experience in areas of risk-score modelling, customer segmentation, impact assessment, attribution analytics, collaborative filtering, marketing mix modelling, recommendation engines and natural language processing is highly preferred
Proficiency in data science techniques and tools including Python, SQL, PySpark, Dataiku, AWS cloud services, Git, Tableau, PowerBI, etc.
Experience in MLOps being a significant 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
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

Key Skills : Python, SQL, Pyspark, DataScience

Sub Skills : Machine learning, predictive modeling, patient analytics

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, 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.