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, 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)