Senior Data Product Manager

7 days ago

County Dublin, Ireland Bms Full time

About Us

Bristol Myers Squibb is a leader in the pharmaceutical industry, dedicated to delivering innovative treatments that improve patient outcomes. We are committed to pushing the boundaries of science and making a meaningful impact on the lives of patients.

Job Overview

The Data Engineering Solution Architect will play a critical role in designing and implementing foundational data products to address global challenges in Product Development, Manufacturing, and Supply Chain operations.

Main Responsibilities

  • Architectural Design and Technology Selection: Drive the architectural design and implementation of foundational data products to address global challenges in Product Development, Manufacturing, and Supply Chain operations.
  • Solution architect to design and model new data enablement projects to enable data scientists to get insights from data.
  • Architect scalable enterprise data lake and analytics solutions using AWS managed services that support the diverse data requirements.
  • Gather business requirements and come up with design models for data products.
  • Architect scalable, end-to-end frameworks to enable seamless integration and management of ML models, advanced analytics, and AI-powered solutions.
  • Leverage data engineering expertise to design and implement robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources into cloud environments.
  • Implement serverless and distributed computing solutions to support data workflows and analytics requirements.
  • Technical point of contact for AWS services and help/support technical teams to resolve technical issues.
  • Optimize cloud resource utilization and costs while ensuring performance and scalability for data workloads.
  • Review code built by technical team, provide code review feedback, fix issues in the code.
  • Build Data Products using AWS cloud services (ie Glue Studio, S3, Athena,Redshift, Lambda, DataZone etc...)
  • Own and maintain git repositories for code base.
  • Translate business objectives into strategic architectural solutions, aligning technical direction with organizational goals and digital transformation efforts.
  • Develop and implement sustainable, reusable design patterns and best practices for enterprise-wide adoption.
  • Evaluate and select appropriate tools and technologies, balancing open-source and commercial solutions while ensuring compatibility with existing infrastructure.
  • Ensure consistent quality and timeliness in the delivery of data products, proactively managing both planned initiatives and ad hoc requests.
  • Collaboration and Stakeholder Engagement: Work with BIT teams (US, EU, India) to develop, implement and enforce best practices in building scalable and reusable data products and collaborate with team to deliver on pipeline projects.
  • Contribute to implementing best practices relating to Software Engineering, DevOps, and DataOps.
  • Engage a broader community to help educate stakeholders on the use of data products to drive business value and widespread adoption.
  • Supports a culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches.
  • Understands, demonstrates, and drives adherence to all BMS operating policies. Consistently demonstrates the BMS values while partnering with stakeholders.

Requirements & Qualifications

  • Minimum 4-5 years of experience in information technology field in developing AWS cloud native data lakes and ecosystems.
  • Bachelor's degree in computer science, information systems, computer engineering, or equivalent is preferred.
  • Hands on experience in building data products using AWS services, DBT, Databricks etc...
  • Experience with cloud-based environments (AWS, Azure, Domino Data Lab etc.)
  • Significant experience with work information process tools (JIRA, Confluence, ServiceNow, MS suites) and data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena).
  • Hands-on expertise in Python and SQL
  • Expert with Github.
  • Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.
  • Ability to architect analytic and data science solutions.
  • Experience in working in geographically dispersed teams and virtual collaboration.

What You'll Get

You will have the opportunity to contribute to the development of cutting-edge treatments and make a meaningful impact on the lives of patients.

You will be part of a dynamic and innovative team that is passionate about science and committed to excellence.

You will receive a competitive salary and benefits package, including health insurance, retirement savings plan, and paid time off.

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