Supply Chain & Engineering - Functional Consultant
$70.35k - $205.8kAccenture Global
We are: Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at [accenture.com](.). You Are: A skillful engineering practitioner and advisor. As a consultant, you will provide actionable insights to the world’s top organizations, helping them address priority issues with strategies they can execute with speed and at scale, utilizing engineering experience in product development or product management, engineering function assessments, business case development and blueprinting improvement strategies including Digital Thread/ Digital Twin, engineering operating model design, advanced analytics and should-cost modeling. The Work:
- You will support our clients across a broad range of industries to address their issues related to:
- Engineering transformations optimizing organization structure, new product development process, R&D spend and product lifecycle management systems
- Zero base product cost management through value analysis, value engineering and Design to Value assessments
- Product Strategies including Product as a Service, Platform Ecosystems and Sustainable Products
- Innovation Management and Product Portfolio Optimization balancing voice of customer and cost to serve
- Digitizing Engineering function with new technologies like Digital Thread / Twin, Robotic Process Automation, Machine Learning, Artificial Intelligence, Blockchain, etc.
- You will spot, isolate, and solve engineering problems using your skills in:
- Advanced analytics – Return on R&D costs, Product Cost, Business case models
- Should-cost modelling – Direct / COGS (incl. metals, plastics, electronics etc.)
- Operating model architecture – people, process technology
- You will also, throughout your work, have opportunities to:
- Lead small to medium sized teams (2-5), with diverse backgrounds skills and knowledge
- Effectively manage and coach others, collaborating with internal and external parties
- Support client sales origination and thought leadership development
- Challenge legacy ways of working using constructive techniques that fuel client growth
- Drive a positive impact in the communities where we work and live
- Minimum 3 years of experience working on engineering improvement initiatives
- 1 year of experience in internal or external consulting role at comparable level
- 1 year of experience related to new technology (Digital Thread / Twin, Robotic Process Automation, Machine Learning, Artificial Intelligence, Blockchain, etc.)
- Bachelor’s Degree or equivalent (minimum 12 years) work experience. (If associate degree, must have minimum 6 years’ work experience).
- Preferred Industry experience in Consumer Product Goods, High Tech, Industrial and SDV (Software-Defined Vehicle)
- Tier 1 management consulting firm experience
- An MBA or equivalent graduate degree
- Previous engineering experience
- Experience with CAD and PLM systems
- Ability to support both client sales origination and project delivery
- Ability to effectively manage and coach others
- A collaborative mindset, are a team player
- Proven ability to work creatively and analytically in a problem-solving environment
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