This role will be responsible for driving operational metrics and KPIs for IA / PA engineering teams which include but not restricted to NPI program performance, revenue tracking for India-accountable engineering programs. Apart from operational reporting and KPI tracking, this role will also be involved in planning and leading organization initiatives & strategic change management across IA/PA India teams. You will use your technical experience and skills to guide teams in deployment of operational & strategic improvements which drive NPI efficiency (NPI = New Product Introduction) and streamline processes as needed by a world-class organization. As such, you must possess technical skills and demonstrate business acumen.
ResponsibilitiesPrimary Responsibilities and Duties:
- Understand the IA/PA New Product Introduction (NPI) Lifecycle and engage with Project teams on revenue realization for India accountable NPIs.
- Establish strong analytics and reporting to monitor engineering KPIs such as revenue, launch timeliness, cost, schedules & work-package outsourcing. You will also be required to communicate & present these performance indicators to project teams & engineering leadership driving informed decision making.
- Identify, analyze, and derive insights / patterns from data. Work with senior management to prioritize business and information needs.
- Collaborate with cross-functional teams to plan and execute operational / strategic improvement initiatives across India Industrial Automation (IA) teams. Will be responsible for day-to-day change management and tracking of such initiatives.
- Interact with engineering leadership on periodic / ad-hoc basis and crisply present KPI metrics, trends and analyses of metrics
- Independently own & drive generation of Monthly Operation Reports (MOR) along with data management and dashboarding as applicable.
Basic Qualifications:
- 5-6 years overall experience in any high-tech engineering company with exposure to Engineering Product Development lifecycle.
- In-depth understanding of at least one Business Process and familiarity with New Product Introduction (NPI) Lifecycle.
- Expertise in advanced EXCEL usage is a must-have requirement. Experience with data visualization tools (Tableau, Power BI, etc.) will be nice to have.
- Should know basic finance, project accounting and business case preparation.
- Good presentation skills and hands-on with PowerPoint presentations and reports.
- Familiar in using AI tools to process large amounts of unstructured data to derive insights & leadership recommendations.
- Bachelor’s degree in engineering / science
We Value
- Excellent collaboration and negotiation skills. Ability to work in matrix environment and manage conflicting priorities across multiple levels of the organization
- Strong written and oral communication skills, particularly in cross-functional collaboration and facilitation of multi-disciplinary teams
- Executive communication – Deliver crisp and impactful presentations to senior leadership
- Self starter – Take independent action and go beyond what the situation requires
- Detail oriented with strong analytical foundation; ability to break large problems into manageable chunks
Skills Required
- 5-6 years of overall experience in a high-tech engineering company
- Experience with the engineering product development lifecycle
- In-depth understanding of at least one business process
- Familiarity with the New Product Introduction lifecycle
- Advanced Microsoft Excel skills
- Basic finance, project accounting, and business case preparation knowledge
- Strong presentation skills and hands-on experience with PowerPoint presentations and reports
- Familiarity with using AI tools to process unstructured data and derive insights
- Bachelor's degree in engineering or science
- Experience with data visualization tools such as Tableau or Power BI
- Excellent collaboration and negotiation skills
- Strong written and oral communication skills
- Executive communication and presentation skills
- Ability to work independently and manage conflicting priorities in a matrix environment
- Strong analytical foundation and attention to detail






