Manager, Manufacturing Solutions Business Consultant (United States)

C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry.

About Our Manufacturing Business Unit

Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries.

The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies—including AI and IoT—enable Digital Manufacturing at Scale.

We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries.

Our Manufacturing Business Unit operates through three integrated functions:

• Strategy & Growth – Develops differentiated offerings and industry thought leadership.

• Business Consulting – Defines client-customized solutions and ensures sustained value realization.

• Engineering Delivery – Delivers solution architecture, development, deployment, and sustainment.

The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives.

Manager, Manufacturing Solutions Business Consultant

Business Unit: Manufacturing – Business Consulting

Location: Remote (US)

Position Overview

The Manager acts as a Product Owner and consulting leader responsible for translating client business objectives into actionable digital product roadmaps and prioritized backlogs.

This role partners closely with Senior Managers and Account Leads to support client success while serving as the primary functional liaison to Engineering Delivery teams. The Manager ensures that solutions are clearly defined, value-driven, and executed efficiently within Agile delivery models.

This role requires strong manufacturing domain understanding, structured consulting skills, and the ability to communicate effectively with both technical and operational stakeholders.

The role also requires practical understanding of artificial intelligence (AI), including generative AI and agentic technologies, and the ability to identify where these capabilities can responsibly improve manufacturing decisions, workflows, and user experiences.

Key Responsibilities:  

Product Ownership & Roadmap Execution

• Translate client business objectives into actionable digital product roadmaps aligned to manufacturing KPIs (OEE, throughput, quality, asset utilization, etc.).

• Define, prioritize, and manage the product backlog, ensuring alignment to agreed scope and value targets.

• Decompose roadmap initiatives into epics, features, and user stories with clear acceptance criteria.

• Support development of phased delivery plans that balance speed-to-value with technical sustainability.

• Track delivery progress against roadmap milestones and proactively manage scope adjustments.

• Partner with Product Managers to refine long-term roadmap strategy.

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Business-to-Technical Translation

• Serve as the day-to-day liaison between client stakeholders and internal architecture and engineering teams.

• Facilitate requirements workshops and working sessions with plant, quality, operations, and IT stakeholders.

• Translate business requirements into functional specifications that engineering teams can execute effectively.

• Clarify assumptions, constraints, and dependencies across workstreams.

• Ensure deliverables meet defined business acceptance criteria.

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Agile Delivery Leadership

• Operate effectively within Agile environments (Scrum, SAFe, or hybrid models).

• Lead backlog grooming, sprint planning inputs, and feature prioritization.

• Participate actively in sprint reviews, demos, and retrospectives.

• Promote iterative delivery and incremental value realization.

• Balance Agile principles with manufacturing-specific requirements such as validation and change control.

• Maintain transparency through milestone tracking and clear documentation.

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Consulting Excellence & Structured Problem Solving

• Apply structured, hypothesis-driven problem solving to ambiguous client challenges.

• Develop clear and concise client-ready materials, including roadmap decks, requirement summaries, and solution overviews.

• Communicate complex technical topics in business-relevant language.

• Support executive presentations prepared by leadership, contributing analysis and structured insights.

• Drive clarity and alignment across stakeholders through disciplined facilitation.

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Support Account Management & Growth

• Support account leadership in identifying expansion opportunities within active engagements.

• Contribute to roadmap extensions and incremental business case development.

• Help prepare proposal materials and functional solution documentation.

• Maintain strong working relationships with client stakeholders to ensure satisfaction and continuity.

• Background in Manufacturing OT, Manufacturing IT, or Manufacturing Data Engineering.

• Elevate voice-of-customer feedback to leadership.

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Contribute to Manufacturing Offering Development

• Provide insights to Strategy & Growth teams regarding recurring client needs and improvement areas.

• Contribute to development of reusable templates, accelerators, and backlog artifacts.

• Support development of credentials and case studies demonstrating client value realization.

• Collaborate with UX and technical teams on solution mock-ups or proof-of-concept artifacts.

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Manufacturing Domain & Technology Acumen

• Demonstrate understanding of core manufacturing processes including production execution, quality, maintenance, and material traceability.

• Understand integration across MES, ERP, IoT platforms, and data ecosystems.

• Apply industry awareness across Human Pharma, Animal Health, and Consumer Goods environments.

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AI & Agentic Solution Leadership

• Identify and evaluate AI-enabled opportunities across manufacturing processes, including decision support, knowledge retrieval, workflow automation, and intelligent user experiences.

• Translate AI use cases into clear business outcomes, functional requirements, roadmap priorities, user stories, acceptance criteria, and measurable value hypotheses.

• Partner with data, architecture, engineering, security, and client stakeholders to shape solutions using generative AI, AI agents, retrieval-augmented generation, machine learning, or related capabilities where appropriate.

• Stay current on evolving AI and agentic technology patterns and communicate their business relevance, limitations, dependencies, and risks to technical and operational stakeholders.

Qualifications: 

• 5+ years of experience in manufacturing, digital manufacturing, or management/technology consulting.

• Experience operating as a Product Owner or functional lead within digital initiatives.

• Experience working within Agile delivery models.

• Strong communication and structured problem-solving skills.

• Ability to interface effectively with both technical and operational stakeholders.

Preferred Qualifications: 

• Bachelor’s degree
• Background in Manufacturing OT, Manufacturing IT, or Manufacturing Data Engineering.
• Prior consulting experience (technology or management consulting).
• Familiarity with industrial standards and enterprise architecture principles.
• Experience supporting MES, IoT, or cloud-based manufacturing data initiatives.
• Exposure to enterprise-scale, multi-site manufacturing programs.

What we offer: 

Competitive remuneration and various benefits:

• 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.)
• Medical Insurance
• Maternity and Paternity Leave
• Long-Term Disability
• Bereavement leave
• Generous Sick Leave
• Internet and Phone stipend
• Development stipend
• Wellness stipend
• Generous Paid Time Off: 20 days in the first year, increasing to 25 days
• We work fully remotely but expect openness to occasional travel
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