Leadership Recruitment &
Executive Search Firm in India

 Description

• Strong executive communication and storytelling skills with the ability to simplify complex technical topics.
• Solid understanding of enterprise IT infrastructure environments (cloud, compute, collaboration, workplace services, or networks).
• Strategic thinking combined with strong execution and program governance capability.
• High level of discretion, stakeholder maturity, and ability to operate in a global matrix environment.
• Analytical mindset with ability to synthesize data into actionable insights.

Responsibilities

• Partner closely with the leader to drive strategic priorities across global IT infrastructure domains including cloud, workplace, data center, networks, and collaboration.
• Prepare executive briefings, decision papers, and structured insights to support leadership forums, steering committees, and global reviews.
• Establish governance cadence across programs by tracking milestones, risks, and dependencies across regions and teams.
• Act as a central point of coordination between infrastructure leadership, enterprise IT stakeholders, and business functions.
• Translate complex technical initiatives into clear business narratives for senior leadership communication.
• Support organizational planning, leadership offsites, and transformation initiatives within Global IT Infrastructure.
• Enable operational excellence by managing leadership dashboards, metrics tracking, and follow-through on strategic actions.
• Facilitate preparation for executive engagements, global townhalls, and leadership communications.
• Bring structured thinking to problem solving, anticipating leadership needs and proactively driving outcomes.

Qualifications

• Bachelor’s degree in Engineering or Technology; MBA or equivalent business qualification preferred.
• 8–12 years of experience across IT strategy, program management, consulting, or senior leadership support roles.
• Prior exposure to infrastructure or enterprise technology environments is strongly preferred.
• Experience working with global stakeholders and senior leadership teams will be an advantage

Key Tasks, Responsibilities & Project Areas:

• Partner with operational teams to apply AI where it adds the most value.

• If Software:

• Embed AI into development workflows — code review, bug prediction, backlog prioritization, and CI/CD enhancements.

• If Procurement:

• Deploy AI for supplier risk prediction, cost forecasting, supplier scoring, and contract optimization.

• Translate challenges into actionable AI projects with clear ROI.

• Run rapid pilot projects to validate AI concepts before scaling across multiple sites.

• Bridge technical teams and operations stakeholders, ensuring AI models are both technically sound and operationally effective.

• Pilot, refine, and scale AI solutions across global operations.

• Champion AI adoption and train teams to use tools effectively.

• Develop predictive solutions to anticipate bottlenecks and integration conflicts.

Key Skills:

• Deep understanding of Software Engineering or Procurement processes.

• Ability to reframe operational pain points into actionable AI projects.

• Skilled in balancing technical ambition with business practicality.

Education Qualification & Experience:

• Degree in Computer Science, Data Science, Industrial Engineering, or equivalent.

• Strong experience in Machine Learning, Data Engineering, and AI implementation.

• Hands-on expertise with AI/ML frameworks (TensorFlow, PyTorch) and industrial data platforms.

• Proven track record of building production-ready AI systems.

• Preferably 10+ years of total experience (as of 31st December 2025).

Personal Attributes:

• Hands-on problem solver, comfortable working on-site and iterating solutions.

• Excellent communication skills to engage both technical and non-technical stakeholders.

• Strong collaborator across diverse cultural and functional teams.

• Continuous learner with a passion for innovation.

Key Tasks, Responsibilities & Project areas:

• Work with 360 degree of stakeholders from reporting teams to peers to managers & with partners to build a compelling ecosystem for aftersales connecting process, product & digitalization.

• Partner with stakeholders to identify what can be simplified, develop a modernization plan, and lead teams in executing it while building their knowledge and capabilities.

• Develop and maintain an end-to-end understanding of the aftersales systems architecture to innovate and drive changes that simplify integrations, workflows, and data flows.

• Collaborate with aftersales markets across service contracts, warranty, diagnostics, and parts to align practices and improve outcomes.

• Work closely with IT and Data teams to create synergies across platforms, integrations, and master data, establishing a cohesive aftersales ecosystem.

• Bring relevant, latest technology trends to aftersales and maintain an overview of the cloud and data ecosystem that underpins the infrastructure.

• Apply GenAI to ticketing systems; assess and learn existing models and algorithms that support aftersales and implement improvements to increase efficiency while adhering to responsible AI practices.

• Collaborate with global teams at MBT and DTNA to drive synergy, simplification, and appropriate globalization, while ensuring necessary regional autonomy.

Key Skills:

• Aftersales process mastery: Deep, end-to-end understanding of aftersales operations with the ability to design, standardize, and continuously improve processes to enhance customer outcomes and efficiency.
• Enterprise IT fluency: Strong command of cloud platforms, infrastructure, enterprise applications, and data architecture; adept at integrating systems and leveraging data to inform decisions and drive automation.
• Applied GenAI excellence: Skilful in designing and deploying GenAI solutions within the native enterprise environment to augment knowledge, streamline workflows, and improve service KPIs—grounded in responsible AI practices.
• Strategic storytelling and communication: Exceptional ability to articulate complex concepts clearly, craft compelling narratives, and influence stakeholders to align strategy and execution.
• People leadership and team cultivation: Proven capacity to connect, inspire, and develop teams; lead by example, foster psychological safety and ownership, and build a culture of collaboration and continuous improvement.