About this role
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview 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. KEY RESPONSBILITIES: • 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. DESIRED SKILLS: 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. What your background should look like 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 Competencies SET : Strategy, Execution, Talent (for managers)