SR AI Analytics & Value Realization Engineer

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,…