Deal Solution Architect - Intelligent Manufacturing Industry at NTT DATA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solution Architecture, Consulting, Pre-sales, Cloud, Data & AI, Digital Transformation, Smart Manufacturing, IoT, Predictive Maintenance, Vehicle Telemetry Systems, Cross-functional Team Collaboration, Communication Skills, Presentation Skills, Industry Knowledge, Risk Mitigation, Contract Structuring

Industry

IT Services and IT Consulting

Description

Lead the end-to-end solutioning of complex, multi-disciplinary deals across technology, service lines, and technology practices e.g. Cloud, Data & AI, Consulting, Finance, App Dev etc. Collaborate with business development teams to understand client needs, pain points, and strategic goals. Design customized solution architectures that align with client objectives and leverage our full suite of offerings. Develop pricing models, delivery frameworks, and risk mitigation strategies. Align commercial terms with solution architecture. Support contract structuring and negotiation. Act as a trusted advisor to internal and external stakeholders during pre-sales and solutioning phases. Support client presentations, workshops, and orals with clear articulation of value propositions. Bring deep industry knowledge to inform solution design, including regulatory, operational, and competitive landscapes. Stay abreast of emerging technologies (AI, GenAI, IoT, cloud, edge, networking, etc.) and their application in industry contexts. Identify and integrate industry-specific accelerators, frameworks, and IP into proposals. Contribute to the development of reusable assets, templates, and playbooks for industry solutioning. 15+ years of experience in solution architecture, consulting, or pre-sales roles. Proven track record of solutioning large, complex deals in one or more of the target industries. Experience in crafting RFP/RFI responses and client-specific solution presentations. Strong understanding of industry trends, digital transformation drivers, and operational challenges. Deep understanding of OEMs, Tier 1/2 suppliers, dealer management systems and aftermarket ecosystems. Familiarity with vehicle lifecycle: design, manufacturing, supply chain, sales, service, and end-of-life. Awareness of mobility trends: EVs, autonomous vehicles, software defined vehicles, connected cars, shared mobility. Understanding of predictive maintenance, smart manufacturing, vehicle telemetry systems, IoT platforms, computer vision, PLM and MES systems Proficiency in cloud platforms (Azure, AWS, GCP) and edge computing for in-vehicle and plant-level solutions. Experience working with cross-functional teams across geographies and service lines. Excellent communication, presentation, and interpersonal skills. Exposure to OT, Industry 4.0, AI/ML, GenAI, IoT, digital twins, and industry automation and smart manufacturing technologies.

Responsibilities

Lead the end-to-end solutioning of complex deals across various technology and service lines. Collaborate with business development teams to design customized solution architectures that align with client objectives.