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GSK India
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Director - Data and Analytics Product - Global Functions

Director - Data and Analytics Product - Global Functions

GSK India

18 - 25 years

50 - 55 Lacs

Bengaluru

Posted:5 hours ago| Platform:

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Skills Required

Procurement Product management Computer science Legal compliance Project management Oncology Business strategy Risk management Forecasting SDLC

Work Mode

Work from Office

Job Type

Full Time

Job Description

As the Director, AIML & Decision Science - Global Functions (working closely with the Head of Data & AI for Global Functions and D&A leadership in GSK s Global Capability Center), you will own and manage AI/ML competency, oversee design, development and deployment of AI/ML & Data Science Products for GSK s Global Functions-

Acting as a competency leader, for business functions and GSK s Digital & Technology teams (which include Subject Matter Experts and external third-party organizations), you will work closely with senior business leaders (in Finance, Procurement, HR, Legal, Compliance, Risk Management, WREF etc) and various technology leaders to oversee the development and implementation of AI/ML projects, ensuring they are delivered on time, within budget, and with the desired outcomes leveraging GSK s Enterprise Data Platform-

Day-to-day you will use your AIML, data science, business domain and product development expertise to define and refine D&A product visions, strategies and roadmaps to drive the design and delivery of high-quality AI solutions (to enable the company to achieve its objectives-

AI and Analytics products currently being delivered by the team include a range of AI and Analytics products, including conversational AI solutions, automation tools, forecasting models, and AI agents designed to achieve business objectives more efficiently than human efforts-

Key Responsibilities:

Understanding needs, business processes and data requirements of customer-groups and users, and manage key business relationships for your AI/ML portfolio
Manage across a portfolio of data products, identify synergies and dependencies, and manage successful delivery-
Combining business understanding with knowledge of established and emerging AI/ML capabilities to identify and cultivate use-cases from ideas into potential D&A products
Build and manage a team of AI/ML professionals, including data scientists, machine learning engineers, and researchers, ensuring they have clear objectives and the resources needed to succeed-
Oversee the development and implementation of AI/ML projects, ensuring they are delivered on time, within budget, and with the desired outcomes
Foster a culture of continuous learning and development within the AI/ML team, including mentoring and career growth opportunities
Encourage a culture of innovation and experimentation within the team to explore new AI/ML techniques and applications
Ensure that AI/ML practices adhere to ethical standards and comply with relevant laws and regulations, particularly regarding data privacy and security-
Work closely with other departments, such as GP&T, product management, and business units, to integrate AI/ML solutions into the broader business strategy-
Stay abreast of the latest developments in AI/ML technology and research to maintain a competitive edge and apply cutting-edge methods to solve business problems-
Engage with internal partners to understand and probe business processes to develop hypotheses and bring structure to requests and translates requirements into an analytic approach
Work collaboratively with business leaders in Identifying critical business problems that could be solved using Generative AI- Identify opportunities to leverage the latest Large Language Models (LLMs)
Thinking and acting with agility, using experimentation, user demos and other sources of rapid feedback to iteratively refine the D&A Product Roadmap and backlog throughout the Product lifecycle
Confirming delivery from development team meets the business requirements and creates the expected value in line with business KPIs
Coaching and guiding wider Data, Analytics and AI teams, promoting a culture of continuous improvement

Basic qualifications:

PhD in Computer Science, Applied Math, Economics, Statistics, Physics, Systems Biology, Computational Biology, Bioinformatics, or related field
18+ years of technical experience in delivering solutions involving Data Science, Machine Learning or Statistics
10+ years in managing cross-functional teams and leading the execution of highly visible complex projects, demonstrating strong project management-
Strong relevant experience of Data & Analytics Product Development (ideally within a cloud environment like Azure)
Domain knowledge in life science industry is preferred

Skills

Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Operations, Model Evaluation, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)

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GSK India

Pharmaceuticals & Biotechnology

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Director - Data and Analytics Product - Global Functions