Senior Manager, Business Intelligence & Reporting Solutions at BristolMyers Squibb
Princeton, New Jersey, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Dec, 25

Salary

162019.0

Posted On

07 Sep, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Pharmaceutical Industry, Data Science, Working Experience, Dash, Computer Science, Data Analytics, Analytics, Power Bi, Machine Learning, Oracle, Reporting, Aws, Python, Sql, Programming Languages, Business Requirements

Industry

Information Technology/IT

Description

WORKING WITH US

Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .

SUMMARY:

The Senior Manager, Business Intelligence & Reporting Solutions will drive the development and execution of innovative AI-driven business intelligence solutions focusing on enhancing Global Product Development & Supply (GPS) functions. This hands-on role focuses on leveraging artificial intelligence to optimize metrics automation, insights generation, scorecard and dashboard visualization, and tool standardization. The position will ensure cohesive delivery of insights to stakeholders through cutting-edge visualization techniques and robust data analysis, with an emphasis on user experience and interface design.

Enhancing Analytics Capabilities and Team Development:

  • Proactively identify new opportunities to further leverage AI-driven data and visualization solutions - prioritizing opportunities with the biggest potential benefit to the business
  • Communicate value of AI-enhanced solutions and insights back to stakeholders and internally within BIT
  • Promote adoption of best practices in analytics, standardization, and AI technology across teams
  • Prioritize and manage analytics requests, ensuring consistent quality and timely deliver

Qualifications:

  • BS / MS in engineering, computer science, data analytics or other quantitative area of study
  • 3+ years of hands-on working experience in analytics, data science, machine learning and reporting
  • Proven track record in adapting analytics solutions to meet business requirements
  • Strong skills in analytics and data visualization tools, with experience in AI applications
  • Ability to effectively collaborate with stakeholders to meet their AI insights and analytics needs
  • Operating successfully in a matrix organization environment
  • Capable of conveying complex analytics concepts to diverse audiences.
  • Ability to conceptualize business challenges and develop analytical frameworks for problem-solving.
  • Familiarity with the full stack of reporting and analytics platforms:
  • Analytics tools/AI technologies.
  • Programming languages: Proficiency in SQL and Python, with a focus on AI and machine learning.
  • Visualization tools: Experience with Power BI, React, Dash or similar platforms.
  • Database architecture: Oracle, AWS (Redshift and S3).
  • Experience in the pharmaceutical industry or with GPS processes is a plus, but not mandatory

How To Apply:

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Responsibilities

Strategic Development and Implementation:

  • Develop and implement innovative AI-enhanced solutions to optimize data analytics and insights generation for reporting.
  • Assist in transforming metrics, scorecards, and dashboards by leveraging AI tools for more effective insights delivery.
  • Support standardization efforts for reporting, with an emphasis on integrating AI across visualization ecosystems.
  • Maintain and enhance standards and best practices for AI-driven data visualizations using platforms like PowerBI, Dash, React and emerging technologies.

Building Collaborative Partnerships:

  • Collaborate with data analysts, data engineers, and business stakeholders to understand requirements and develop impactful BI solutions.
  • Establish and nurture relationships with cross-functional teams within GPS and related enabling functions.
  • Work to ensure that AI-driven solutions are effectively communicated and adopted by business stakeholders.
  • Partner with other AI teams to integrate their innovations to enhance user experience and solution effectiveness.

Enhancing Analytics Capabilities and Team Development:

  • Proactively identify new opportunities to further leverage AI-driven data and visualization solutions - prioritizing opportunities with the biggest potential benefit to the business
  • Communicate value of AI-enhanced solutions and insights back to stakeholders and internally within BIT
  • Promote adoption of best practices in analytics, standardization, and AI technology across teams
  • Prioritize and manage analytics requests, ensuring consistent quality and timely delivery

Qualifications:

  • BS / MS in engineering, computer science, data analytics or other quantitative area of study
  • 3+ years of hands-on working experience in analytics, data science, machine learning and reporting
  • Proven track record in adapting analytics solutions to meet business requirements
  • Strong skills in analytics and data visualization tools, with experience in AI applications
  • Ability to effectively collaborate with stakeholders to meet their AI insights and analytics needs
  • Operating successfully in a matrix organization environment
  • Capable of conveying complex analytics concepts to diverse audiences.
  • Ability to conceptualize business challenges and develop analytical frameworks for problem-solving.
  • Familiarity with the full stack of reporting and analytics platforms:
  • Analytics tools/AI technologies.
  • Programming languages: Proficiency in SQL and Python, with a focus on AI and machine learning.
  • Visualization tools: Experience with Power BI, React, Dash or similar platforms.
  • Database architecture: Oracle, AWS (Redshift and S3).
  • Experience in the pharmaceutical industry or with GPS processes is a plus, but not mandatory.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

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