B

Mgr. Data Analytics

B. BRAUN MEDICAL (US) INC
1 day ago
Full-time
On-site
Allentown, Pennsylvania
B. Braun Medical, Inc.


Company: B. BRAUN MEDICAL (US) INC
Job Posting Location: Allentown, Pennsylvania, United States, Bethlehem, Pennsylvania, United States
Functional Area: Quality
Working Model: Hybrid
Days of Work: Friday, Thursday, Wednesday, Tuesday, Monday
Shift: 5X8
Relocation Available: No
Requisition ID: 10388

B. Braun Medical Inc., a leader in infusion therapy and pain management, develops, manufactures, and markets innovative medical products and services to the healthcare industry. Other key product areas include nutrition, pharmacy admixture and compounding, ostomy and wound care, and dialysis. The company is committed to eliminating preventable treatment errors and enhancing patient, clinician and environmental safety. B. Braun Medical is headquartered in Bethlehem, Pa., and is part of the B. Braun Group of Companies in the U.S., which includes B. Braun Interventional Systems, Aesculap® and CAPS®.

Globally, the B. Braun Group of Companies employs more than 64,000 employees in 64 countries. Guided by its Sharing Expertise® philosophy, B. Braun continuously exchanges knowledge with customers, partners and clinicians to address the critical issues of improving care and lowering costs. To learn more about B. Braun Medical, visit www.bbraunusa.com


Position Summary:

The Data Analytics Manager is responsible for leading the development, execution, and maturation of the organization’s qualityfocused data analytics strategy. This role establishes the frameworks, systems, and technical foundations that ensure quality data is accurately collected, integrated, governed, analyzed, and leveraged across the business to meet Quality System, Regulatory, and operational requirements. The manager oversees the design of scalable data solutions, drives advanced analytics and AIenabled automation initiatives, and ensures that dashboards, metrics, and reporting structures are standardized and inspectionready. Additionally, the role provides strategic insights to senior leadership, guides an analytics team in delivering highvalue statistical and predictive analytics, and supports continuous improvement initiatives that elevate organizational visibility into emerging risks and enhance overall decisionmaking.

Responsibilities: Essential Duties:

  • Lead the development and execution of a comprehensive data analytics strategy aligned with Quality System, Regulatory, and business requirements.
  • Drive datadriven initiatives that enhance quality, improve operational efficiency, support local and global reporting, and strengthen inspection readiness and datahandling processes.
  • Establish the strategic and technical framework for how quality data is collected, integrated, governed, analyzed, and utilized across the organization.
  • Architect and deploy scalable dataintegration solutions connecting multiple quality and operational systems (TrackWise Digital, SAP, LIMS, MES, Pharmacovigilance, document control).
  • Develop and maintain a longterm roadmap for analytics capability maturity, including automation, system integration, advanced analytics, and digital transformation.
  • Build and lead an analytics function that delivers statistical modeling, predictive insights, trend analysis, and earlywarning indicators across quality systems (nonconformance, complaints, CAPA, batch performance, postmarket surveillance).
  • Standardize dashboards, reporting structures, data definitions, and analytical methodologies to ensure consistent, reliable, inspectionready metrics.
  • Lead the design and implementation of AIenabled automations that increase efficiency, decrease manual workload, and improve visibility of quality risks.
  • Communicate insights, risks, and recommendations to senior leadership in clear, concise, actionable formats.

Expertise: Knowledge & Skills

  • Advanced knowledge of data analytics principles, concepts, and methodologies; able to influence and advance analytical strategy.
  • Ability to work independently with minimal supervision, using judgment and experience to plan and accomplish goals.
  • Strong problemsolving skills with the ability to resolve complex issues.
  • Effective communication and collaboration skills for interacting with internal/external partners and senior management.
  • Ability to train, mentor, and guide peers when needed.

Required:

  • Bachelor’s degree in data Analytics, Statistics, Computer Science, Engineering, Life Sciences, or a related field.
  • 2+ years of management experience.
  • Experience in the pharma or medicaldevices industry, especially in computer system and data validation, preferred.

The targeted range for this role takes into account a range of factors that are considered when making compensation and hiring decisions; included but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Compensation decisions are dependent on the facts and circumstances of each case. The range provided is a reasonable estimate.

B. Braun offers an excellent benefits package, which includes healthcare, a 401(k) plan, and tuition reimbursement. To learn more about B. Braun and our safety healthcare products or view a listing of our employment opportunities, please visit us on the internet at www.bbraunusa.com.

Through its “Sharing Expertise®” initiative, B. Braun promotes best practices for continuous improvement of healthcare products and services.

We are an equal opportunity employer. We evaluate applications without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected characteristic. Know Your Rights: Workplace Discrimination is Illegal, click here.



All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.



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