Director, Digital Solutions Architect

Usa Nj - Franklin Lakesexecutive

EngineeringSoftware Architect

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Quick Summary

Key Responsibilities

Enterprise Data & Solution Architecture Define and govern end‑to‑end solution architectures across data ingestion, transformation, modeling, semantic layers, analytics,

Technical Tools

EngineeringSoftware Architect

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 MedTech 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

~3 min read

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 DevOps, 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 aligned to business strategy and technology direction.
→Prioritize initiatives based on business value, feasibility, risk, and strategic impact; maintain a transparent digital portfolio view.
→Quantify and communicate measurable business outcomes (growth, margin, cost reduction, service and quality improvement) enabled by digital solutions.
→Drive progression from descriptive → diagnostic → predictive → prescriptive → autonomous decision‑making.

Stakeholder Engagement & Executive Influence

→Translate complex business challenges into scalable, pragmatic digital and AI use cases and solution roadmaps.
→Present solution architectures, transformation strategies, and value realization to executive audiences in clear, business‑centric language.
→Lead cross‑functional governance forums to ensure alignment, adoption, and scalability of data and digital solutions.

Digital Operating Model, Governance & Standardization

→Establish the enterprise operating model and governance playbooks for analytics and AI delivery, covering roles, processes, and decision rights.
→Drive standardization and reuse of reference architectures, patterns, and components across regions, functions, and product teams.
→Enable self‑service analytics and data democratization, ensuring business teams can safely and effectively use data products and tools.
→Ensure alignment with cybersecurity, compliance, and regulatory requirements for all digital and data solutions.

Leadership, Talent & Capability Building

→Build and lead high‑performing teams of solution architects, data architects, and senior engineers focused on digital and data products.
→Develop organizational capability in data engineering, analytics, AI, and digital product thinking, including training and enablement for business and IT.
→Drive hiring, mentoring, performance management, and career development programs for architecture and digital talent.
→Foster a data‑driven, innovation‑focused culture that encourages experimentation, learning, and responsible risk‑taking.

What We Offer

~1 min read

A career at BD means being part of a team that values your opinions and contributions and that encourages you to bring your authentic self to work. It’s also a place where we help each other be great, we do what’s right, we hold each other accountable and learn and improve every day.

You will learn and work alongside inspirational leaders and colleagues who are equally passionate and committed to fostering an inclusive, growth-centered, and rewarding culture. You will have the opportunity to help shape the trajectory of BD while leaving a legacy at the same time. And through the organization’s investment in BD University, you will continually level up your tech skills and expertise.

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you’ll discover a culture in which you can learn, grow and thrive. And find satisfaction in doing your part to make the world a better place.