Director, Digital Solutions Architect

Overview

BD is one of the largest global medical technology companies in the world. Your role will contribute to advancing the world of health by developing transformative data and digital solutions that turn business challenges into strategic outcomes.

• 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.

• 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.

• Guide the design and deployment of AI/ML and advanced analytics solutions including financial forecasting, anomaly detection, working‑capital optimization, customer segmentation, pricing, and marketing effectiveness.
• Predictive quality, defect detection, 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.

• Manage the enterprise data platform and data marketplace strategy, promoting a “data‑as‑a‑product” mindset.
• Act 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.

• 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.

• 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.

• 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.

• Establish the enterprise operating model and governance playbooks for analytics and AI delivery,…