Product and Platform Engineering Consultant

S&C GN - MC - Industry X - Product & Platform Engineering – Consultant

Job Title -  <MC - Industry X – Product & Platform Engineer> + + S&C Global Network) 

Management Level : 9-Consultant

Location: Bangalore/ Gurgaon/Mumbai

Must have skills: Agile Coach

Good to have : CSM,CDM,CDA.ML

Experience: Minimum 5+ years of Experience

Educational Qualification: B.Tech/BE ,MBA

Job Summary: 

As a Management Consultant in our Product & Platform Engineering team, you will leverage your consulting experience to drive product management, agile transformation, and value engineering initiatives. Together, let’s unlock new growth opportunities for clients across the globe and build a better world. As a part of this high-impact team, you will help drive the following: 

Roles & Responsibilities

Product Management:  

• Facilitate end-to-end product development and launch strategies Lead the development and execution of end-to-end product strategies, aligning with client business goals, enhancing customer experiences, and maximizing value.  

• Drive cross-functional collaboration to ensure efficient and effective execution of platform strategy and roadmap, providing strategic guidance.  

• Harness techno-functional skills in software development, microservices, cloud enablement, platform design and systems integration. 

• Adopt a granular and hands-on approach: Focus on delivering new products, analyze data and identify areas of improvement to positively impact business. 

Enterprise Agility:  

• Agile Coach: Drive end-to-end project delivery in an agile manner driving transformative strategic value and business growth 

• Develop a plan for the adoption of Agile (domain-wide / enterprise-wide) and use techniques that increase collaboration, predictability, transparency. 

• Design Strategies: Designing strategies for adoption and improvement of Agile for organizations based on customer requirements and educate, conduct user review sessions 

• Educate, suggest tools and provide training for organization-wide adoption of Agile methodologies using Agile-coach techniques and collaborate across roles including Product Owners and development teams. 

• Promote a culture of experimentation and innovation 

• Agile thought leadership: Maximize business value through effective application of lean-agile mindsets and tailored frameworks. 

Agile Tooling:  

• Be an Agile tooling Coach: Drive end-to-end project delivery in an agile manner driving transformative strategic value and business growth. Enable the tooling aspects of setting up an agile organization or software delivery. 

• Advise tool selection: Advise the stakeholder on the selection and configuration of the right tools to meet the client-specific needs. 

• Develop Agile adoption strategies: Build efficient, transparent and cohesive teams to enable better outcomes, solutions and products/services. 

• Implementation of Agile methodologies: Educate, recommend tools and provide training for organization-wide adoption of using Agile-coach techniques and collaborate across roles including Product Owners and development teams. 

• Agile thought leadership: Maximize business value through effective application of lean-agile mindsets and tailored frameworks. 

• Promote a culture of experimentation and innovation. 

Value Engineering:  

• Translate business objectives to outcomes: Engage with internal and external stakeholders, understand business needs, create technology road maps, prioritize the delivery approach, and guide technical leads in solution delivery. 

• Drive intelligence in devices and services: Scale new tech to promote business benefits and impact of the platform as well as track and monitor the value delivered. 

• Work cross-functionally to ensure efficient and effective execution of platform strategy and roadmap. 

Business Role:  

• Lead comprehensive market analysis and develop strategic roadmaps. 

• Develop and manage strategic stakeholder engagement plans. 

Product Domain Focus:  

• Lead market and competitor analysis, driving product strategy and data-driven decision-making. 

• Lead feature definition and prioritization, aligning with strategic product goals.