Manager / Senior Manager

GSK India

8 - 12 years

20 - 25 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

procurement computer science data management architecture business analytics data processing technical architecture analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Lead the analytics and data engineering functions to support business transformation and AI initiatives.
Research and Innovation: Stay up to date with the latest AI advancements, research new technologies (e.g., generative AI, large language models), and propose innovative solutions to drive growth.
Manage the inventory of commercial data assets to ensure data readiness, quality, and accountability in alignment with risk, compliance, and regulatory guidelines.
Collaborate with internal stakeholders, including DevOps, DataOps, Cyber Security, Risk, and Assurance teams, as well as the Commercial Leadership Team, to ensure adherence to best practices and governance standards.
Establish and maintain a solution-oriented, well-structured data inventory to support analytics, reporting, and business insights.
Drive continuous improvement in data management processes, ensuring data integrity and accessibility for business users.
Support the development of scalable data solutions that align with organizational goals and technology strategies
Documentation: Document the design, development, and deployment processes, as well as the solution architecture.
Collaboration: Work closely with cross-functional teams including data scientists, software engineers, product managers, and stakeholders to define project goals and ensure AI solutions align with business objectives.
Deployment Support: Deploy AI solutions into production environments, often by creating APIs and microservices that integrate with other applications and systems

Development:

Strong working knowledge of Azure services and components, and the ability to stitch together various components towards a scalable, reliable and sustainable enterprise solution.
Production experience delivering CI/CD pipelines across Azure and vendor products.
Key knowledge of architectural patterns across code and infrastructure development.
Contribute towards the design and development of the enterprise standards.
Ensure project goals are achieved with quality and on time in alignment with the stakeholders expectations.
Ability to work on complex projects and in a distributed environment.
Work in close collaboration with other team members in the Digital Dule organization and DevOps team to ensure Development/Delivery aspects are well represented in the project s requirements and deliverables.

Methodology:

Incorporate agile ways of working
Lead with modern data design and test driven development.
Individuals will work as part of a product-centric delivery team(s) that will deliver value independently while fully embracing integrated DevOps approaches.
Take ownership of the delivery/development projects and help steer until completion.

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