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Lead Business Process Consultant, Life Sciences

Job in Brockton, Plymouth County, Massachusetts, 02411, USA
Listing for: BIP US
Full Time position
Listed on 2026-08-19
Job specializations:
  • IT/Tech
    Change Management, Business Systems & Technology Analysis, AI Business & Operations
  • Business
    Change Management, Business Systems & Technology Analysis, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 130000 - 165000 USD Yearly USD 130000.00 165000.00 YEAR
Job Description & How to Apply Below

Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale, creating greater value for our customers, employees, shareholders, and society.

BIP specializes in high-impact consulting services across multiple industries with 8,500 employees worldwide. Our domains include Life Sciences, Consumer/Retail, Energy, and Financial Service businesses including Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients.

About

the Role

We are seeking a Lead Business Process Consultant to help leading Life Sciences and Consumer/Retail organizations solve complex business and operational challenges through business process transformation, digital strategy, enterprise technology, data, analytics, and AI-enabled solutions.

This highly client-facing consulting role combines business process engineering, technology consulting, operational excellence, and digital transformation. You will partner closely with executive business stakeholders, operations leaders, supply chain organizations, and technology teams to understand business challenges, identify process improvement opportunities, and design practical technology-enabled solutions that deliver measurable business outcomes.

The ideal candidate possesses strong consulting experience, excellent business process knowledge, and the ability to bridge business strategy, operations, and enterprise technology across complex Life Sciences and/or Consumer/Retail environments.

Key Responsibilities
  • Lead client discovery and workshops to understand business strategy, operational challenges, and transformation objectives.
  • Analyze end-to-end processes across Supply Chain, R&D, Manufacturing, Quality, Procurement, Clinical and Commercial Operations to identify bottlenecks, risks, and automation opportunities.
  • Design future-state operating models, process improvements, and transformation roadmaps, supported by business cases and ROI analysis.
  • Translate business requirements into technology-enabled solutions leveraging enterprise platforms, analytics, AI, automation, and cloud.
  • Facilitate executive presentations, process mapping, and solution design sessions with client leadership and cross-functional teams.
  • Support implementation through solution design, testing, adoption, and business readiness, partnering with Data & AI, Enterprise Architecture, Cloud, and Change Management teams.
  • Identify and shape expansion opportunities, supporting pre-sales pursuits and proposal development.
  • Complete required enablement training and stay current with industry, regulatory, and technology developments in Life Sciences.
Required Qualifications
  • 8+ years in Management Consulting, Business Consulting, Process Engineering, Digital Transformation, or Technical Consulting, including engagements within Healthcare, Pharmaceutical, Biotechnology, Medical Device, or Life Sciences organizations.
  • Track record leading process assessments, requirements workshops, operating model design, and transformation initiatives.
  • Strong grounding in process improvement methodologies including Lean, Six Sigma, BPM, Process Engineering, or Operational Excellence.
  • Practical fluency with AI and intelligent automation — able to identify where AI can improve a process and shape credible, context-aware use cases with clients.
  • Comfort working directly with enterprise transactional data, including reading data models, interpreting queries (SQL or equivalent), and validating findings against source systems such as SAP.
  • Experience with enterprise technologies (ERP, CRM, Supply Chain, Manufacturing, Data & Analytics, or Cloud) and the analytical ability to translate business problems into practical…
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