Associate Manager - Data & Analytics

Job Description

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