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Director, Digital Solutions Architect

Job in Franklin Lakes, Bergen County, New Jersey, 07417, USA
Listing for: Information Technology Senior Management Forum
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

We are the people who give possibilities purpose

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of Med Tech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

Job Description

We are the makers of possible!

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of Med Tech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a maker of possible with us.

Responsibilities

Enterprise Data & Solution Architecture

  • Define and govern end-to-end solution architectures across data ingestion, transformation, modeling, semantic layers, analytics, and AI for key business domains.
  • Enable design and scaling of cloud-native data platforms (e.g., Databricks, Azure, Snowflake) to support AI-ready, governed data ecosystems.
  • Establish reusable data models, KPI frameworks, and semantic layers across Finance, Commercial, Quality, and Integrated Supply Chain.
  • Lead integration of ERP, CRM, QMS, MES, planning, and other operational systems into a unified enterprise analytics and digital platform.

Data Engineering, Governance & Compliance

  • Oversee architecture of scalable, resilient data pipelines with built-in data quality, lineage, auditability, and traceability.
  • Embed SOX controls, financial governance, FDA/ISO compliance, and data privacy standards directly into data and analytics solutions.
  • Define enterprise-wide data governance frameworks, including master data management, cataloging, and data access models.
  • Ensure secure, compliant, and scalable data product architectures across all domains.

AI/ML, Advanced Analytics & Automation

  • Guide the design and deployment of AI/ML and advanced analytics solutions including:
    • Financial forecasting, anomaly detection, and working capital optimization.
    • Customer segmentation, pricing, and marketing effectiveness.
    • Predictive quality, defect detection, and root-cause analytics.
    • Demand forecasting, supply planning, and supply chain optimization.
  • Establish and support MLOps frameworks for model deployment, monitoring, explainability, and lifecycle management.
  • Drive intelligent automation and decision-support systems using AI, rules engines, and workflow orchestration.
  • Enable scenario planning and simulation capabilities across enterprise planning and operational processes.

Platform Engineering & Product Ownership

  • Manage the enterprise data platform and data marketplace strategy, promoting a “data-as-a-product” mindset.
  • Serve as technical product owner for key analytics and digital platforms, managing roadmap, lifecycle, and alignment with business priorities.
  • Drive adoption of Dev Ops, CI/CD, Infrastructure-as-Code, and automation frameworks for analytics and digital solution delivery.

Functional & Business Leadership

Finance, Commercial, Quality & Operational Analytics Enablement

  • Drive analytics and digital transformation across:
    • Finance: FP&A, forecasting, cost optimization, profitability and performance analysis.
    • Commercial: revenue growth, pricing, customer and channel insights, marketing effectiveness.
    • Quality: deviations, CAPA, complaint analytics, predictive risk management, regulatory reporting.
    • Integrated Supply Chain: manufacturing, planning, service levels, operational efficiency, and cost optimization.
  • Standardize enterprise KPIs, reporting definitions, and performance frameworks across business units and regions.

Digital Transformation & Value Realization

  • Define and execute an enterprise digital and AI transformation roadmap…
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