Supply Chain and Engineering– Software Defined Vehicle; SDV Go-To-Market, Senior Manager/Ass
Listed on 2026-05-02
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Engineering
Systems Engineer
WHO WE ARE
We are Accenture Supply Chain and Engineering Reinvention Engine. We embed innovation, intelligence, and sustainability into the way the world designs, engineers, manufactures, and operates products. We enable engineering and manufacturing clients to reinvent engineering and manufacturing through digital technologies.
Software Defined Vehicles (SDV) are reshaping the automotive and mobility landscape—transforming vehicles into continuously evolving software platforms. Accenture supports clients across OEMs, suppliers, and ecosystem partners to define, design, build, and scale SDV platforms that accelerate innovation, reduce time to market, and unlock new revenue models.
THE PRACTICEThis role aligns with Supply Chain and Engineering’s Software Defined Vehicle (SDV) and Digital Engineering practice, working closely with Go-To-Market, offering, and delivery teams.
The practice brings together deep engineering, embedded software, platform, cloud, and industry expertise to support clients across the full SDV lifecycle—from strategy and architecture through delivery, industrialization, and operationalization.
THE WORKAs a Software Defined Vehicle (SDV) Go-to-Market Senior Manager / Associate Director, you will play a critical role in shaping client solutions, supporting complex sales pursuits, and leading delivery execution across SDV engagements.
This role sits at the intersection of solution architecture, client engagement, and delivery leadership, with accountability for ensuring solutions are feasible, differentiated, and successfully executed.
Key responsibilities includeSupport sales pursuits and go-to-market motions by shaping SDV solution architectures, estimates, delivery models, and value propositions in partnership with account and GTM leads
Act as a solution and delivery lead for SDV engagements, owning technical and functional outcomes across one or more work streams
Translate client business and engineering objectives into end-to-end SDV solutions, spanning vehicle software platforms, embedded systems, E/E architectures, cloud, data, and AI
Lead and coordinate multi-disciplinary delivery teams across digital engineering, software, cloud, and data to ensure on-time, high-quality delivery
Serve as a trusted advisor to client stakeholders, including engineering, software, IT, and digital leaders, throughout solution design and delivery
Contribute to the development and refinement of repeatable SDV offerings, accelerators, and assets, incorporating delivery learnings and client feedback
Support client workshops, discovery sessions, POVs, demos, and POCs, helping clients evaluate SDV architectures and delivery approaches
Partner closely with offering, architecture, and capability leads to ensure solutions align with Accenture’s standards, delivery models, and scalability requirements
Provide oversight on delivery quality, risks, dependencies, and commercial guardrails across SDV programs
Travel may be required (0–75%) depending on business and client needs
12+ years of experience in consulting, engineering, or industry roles across automotive, mobility, or complex product environments
8+ years of experience in solution shaping and delivery leadership, including participation in large, complex sales pursuits and ownership of delivery outcomes
8+ years experience of Strong domain knowledge in Software Defined Vehicle (SDV) and digital engineering, including experience in areas such as:
Embedded software and vehicle platforms
E/E or zonal architectures
OTA and software lifecycle management
Cloud-native and edge architectures
5+ years of experience working with OEMs, Tier 1 suppliers, or mobility ecosystem players, either as a consultant or in industry
Hands‑on experience delivering end-to-end SDV or digital engineering programs, from design through industrialization
Exposure to ALM–PLM convergence, Dev Sec Ops , validation & verification, or vehicle software tool chains
Experience with cloud, data, AI, systems integration, or managed services in large-scale engineering environments
Track record supporting or leading multi-million-dollar pursuits and complex,…
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