Job description
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)