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Sr Manager, Digital Solutions Architect

Job in Franklin Lakes, Bergen County, New Jersey, 07417, USA
Listing for: Becton Dickinson
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Engineering, Data Science Manager, Data Security
Salary/Wage Range or Industry Benchmark: 152600 - 244200 USD Yearly USD 152600.00 244200.00 YEAR
Job Description & How to Apply Below

Senior Manager, Digital Solutions Architect

Job Description:

A senior technical role responsible for designing and delivering scalable digital, data, analytics, and AI solutions across Finance, Commercial, Integrated Supply Chain, and Quality. This role partners closely with business‑led digital teams to co‑create digital products, define solution architecture, and ensure delivery aligns with enterprise standards, compliance requirements, and measurable business value. The Senior Manager helps standardize reusable patterns, guides engineering teams, and translates business priorities into scalable, secure, and reusable technology solutions.

Responsibilities
  • Technical Leadership – Partner with business‑led digital teams to co‑create scalable data products, analytics solutions, and AI‑enabled digital capabilities across Finance, Commercial, Integrated Supply Chain, and Quality; define end‑to‑end solution designs; translate business requirements into scalable, supportable architecture patterns; support technical governance.
  • Enterprise Data & Platform Architecture Design – Design cloud‑native architectures using Azure, Databricks, Snowflake, and modern analytics platforms; build reusable KPI models, semantic layers, and reporting patterns; enable integration of ERP, CRM, QMS, MES, planning, pricing, sales, marketing, manufacturing, service, and reporting systems into unified digital and analytics platforms; support API‑led and event‑driven integration designs.
  • Data Engineering, Governance & Compliance – Ensure solution designs incorporate scalable pipelines, strong data quality, lineage, auditability, traceability, and operational reliability; embed SOX, financial controls, FDA/ISO, data privacy, and cybersecurity requirements; align with enterprise data governance, master data, metadata, and cataloging standards; ensure secure and compliant architecture.
  • AI/ML, Analytics & Automation – Support architecture for use cases in Finance (forecasting, anomaly detection, profitability, margin, working capital analytics);
    Commercial (pricing, customer segmentation, insights, marketing effectiveness);
    Integrated Supply Chain (demand forecasting, planning, inventory optimization, manufacturing, service performance);
    Quality (complaint analytics, CAPA insights, defect detection, predictive quality, risk management). Enable AI‑ready architectures and intelligent automation.
  • Functional & Business Leadership – Domain Enablement – Work with stakeholders to understand business priorities, decision flows, process pain points, and KPI requirements; translate domain needs into scalable data, analytics, and digital solution designs; standardise KPI definitions and reporting frameworks.
  • Digital Transformation & Value Delivery – Support delivery of digital transformation roadmap by designing scalable, high‑value solutions; prioritise technical capabilities and architecture investments; contribute to business cases and value tracking.
  • Stakeholder Engagement – Serve as trusted technical partner to business leaders, product leaders, and technology teams; facilitate architecture workshops, solution reviews, roadmap discussions; communicate design decisions to non‑technical audiences.
  • Standards, Governance & Team Leadership – Apply and reinforce architecture standards; drive reuse of common patterns; mentor architects, engineers, and analysts; foster disciplined, collaborative culture.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline plus 12 years of experience in solution architecture, data architecture, analytics, or digital transformation roles within large enterprise environments; OR Master’s degree plus 8 years of experience.
  • Strong hands‑on expertise in modern cloud data and analytics platforms such as Azure, Databricks, APIs, integration patterns, and BI tools.
  • Functional understanding of Finance, Commercial, Integrated Supply Chain, or Quality, preferably in a regulated or complex enterprise setting.
  • Proven experience leading technical work streams, mentoring engineers and architects, and driving architecture standardisation across multiple initiatives.
Benefits
  • Health…
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