SR AI Analytics & Value Realization Engineer

TE Connectivity · Bangalore, India

This job is with TE Connectivity, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

The AI Analytics & Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering. The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio.
This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics.

• • Partner with AI Transformation Engineers during opportunity assessments.
  • Establish baseline metrics, value hypotheses, and expected business outcomes.
  • Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.
  • Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.
  • Challenge assumptions and ensure value estimates are fact-based and measurable.
  Portfolio Measurement & Reporting
  • Develop and maintain AI portfolio dashboards and KPI reporting.
  • Track solution adoption, utilization, and business impact.
  • Collect and analyze deployment performance data.
  • Ensure consistent reporting across all AI initiatives.
  • Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.
  Value Realization & Validation
  • Validate achievement of project objectives and business benefits.
  • Monitor sustainability of realized benefits after deployment.
  • Identify underperforming initiatives and recommend corrective actions.
  • Support prioritization decisions using objective performance and value data.
  • Develop standardized value realization methodologies and reporting processes.
  • Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.

Bachelor's degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.
• Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.
• Strong analytical and quantitative problem-solving skills.
• Experience developing and maintaining business metrics and measurement frameworks.
• Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.
• Ability to translate complex data into actionable business insights.
• Knowledge of engineering, technology, or transformation programs preferred.
• Strong communication and executive presentation skills.

Generally requires Bachelors degree in appropriate field with a minimum of 5 years of progressively responsible professional level experience; Masters degree or higher or local equivalent may be preferred at this level