Associate Director, Digital Solutions Architect

Benefits

Additional Information

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 MedTech products per year-to look at the impossible and find transformative solutions that turn dreams into possibilities. Job Description Responsibilities and Skills 1. Technical Leadership Solution & Data Architecture Lead solution architecture for digital and data products: ingestion, transformation, data models, semantic layers, APIs, analytics, and AI components. Design and document architecture blueprints and reference designs that can be reused across Finance, Commercial, ISC, and Quality initiatives. Provide hands‑on guidance to data engineers, platform engineers, and developers on implementation choices, performance, scalability, and resiliency. Cloud & Platform Engineering Architect solutions on Azure and Databricks (and optionally Snowflake or similar) leveraging lakehouse patterns, Delta/Parquet storage, and governed semantic layers. Design integration patterns to connect ERP, CRM, QMS, MES, planning, and other operational systems into unified analytic and digital platforms. Lead API‑driven and event‑driven design for interoperability between digital products and core enterprise systems. Data Engineering, Quality & Compliance Define patterns for robust data pipelines (batch and streaming) with embedded data quality checks, lineage, logging, audit trails, and monitoring. Ensure solution designs incorporate cybersecurity, access control, data privacy, SOX, and FDA/ISO requirements where applicable. Work closely with data governance and MDM teams to align digital solutions with enterprise data standards, master data, and cataloging. Analytics, AI & Automation Enablement Collaborate with AI/ML and analytics teams to design technical foundations for forecasting, optimization, segmentation, predictive quality, and supply chain analytics. Design solutions that are "AI‑ready": clear data contracts, features available for models, and integration patterns that support MLOps and model lifecycle. Support automation and decision support capabilities (e.g., rule engines, workflows, event‑based triggers) as part of end‑to‑end solutions. 2. Functional & Business Leadership Domain Engagement (Finance, Commercial, ISC, Quality) Partner with Finance, Commercial, ISC, and Quality stakeholders to understand business processes, data needs, KPIs, and pain points. Translate business requirements into technical designs that are feasible, scalable, and reusable across regions and business units. Help harmonize and standardize KPI definitions, reporting structures, and data semantics across functions. Product Co‑Creation & Value Realization Co‑create digital and data products with business‑led teams, ensuring strong alignment between user needs and technical approach. Support prioritization of technical features based on business value, risk, and complexity, and ensure solutions are designed for adoption and scale. Contribute to framing the value case for major digital solutions (e.g., growth, cost reduction, service and quality improvements). Stakeholder Communication Serve as the primary technical counterpart for product owners and business leaders on assigned domains. Explain architecture options, trade‑offs, and implications in clear, non‑technical language when needed. Participate in governance and steering forums to ensure alignment across technology, data, and business stakeholders. 3. Digital Operating Model, Standards & Leadership Implement architecture standards, design patterns, and guardrails defined by the Director, Digital Solutions Architect, and extend them with domain‑specific patterns. Review designs and implementations across teams to ensure adherence to standards and to maximize reuse and consistency. Mentor solution and data architects, senior engineers, and analysts, building capability in modern architecture and digital delivery. Promote a culture of engineering excellence, documentation, and continuous improvement within the digital and data teams. Key Requirements Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field plus 10 years of experience in solution and/or data architecture, with strong hands‑on exposure to modern cloud data and analytics platforms. PLUS 14 years of experience in solution and/or data architecture, with strong hands‑on exposure to modern cloud data and analytics platforms. - OR - Master's degree in Computer Science, Engineering, Information Systems, or a related technical field plus 10 years of experience in solution and/or data architecture, with strong hands‑on exposure to modern cloud data and analytics platforms. Deep technical skills in Azure, Databricks, APIs, data modelin