SR AI Analytics & Value Realization Engineer

TE Connectivity Ltd.; Bengaluru; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

TE Connectivity Ltd. in Bengaluru is seeking an AI Analytics Value Realization Engineer to drive measurable business value from AI initiatives across ICT Engineering.

You will establish value measurement frameworks, validate benefits, and develop dashboards to enable data-driven decisions across the AI portfolio. You will serve as the lead for adoption measurement, business impact reporting, and portfolio analytics, coordinating with AI transformation engineers and ICT leadership to track

Qualifications

• 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 and KPI reporting.
• Strong analytical and quantitative problem-solving skills.
• Experience developing and maintaining business metrics and measurement frameworks.
• Ability to translate complex data into actionable business insights.
• Strong communication and executive presentation skills.

Responsibilities

• Partner with AI Transformation Engineers during opportunity assessments.
• Establish baseline metrics, value hypotheses, and expected outcomes.
• Define standardized measurement methodologies and evidence requirements.
• Develop approaches to measure engineering productivity and benefits.
• Challenge assumptions and ensure value estimates are fact-based.
• 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 and AI leadership.
• Value Realization Validation.
• Validate achievement of project objectives and business benefits.
• Monitor sustainability of realized benefits post-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.

Skills

Analytical thinking

Quantitative problem-solving

Data-driven decision making

Communication skills

Executive presentation

Portfolio analytics

Cross-functional collaboration

Education

Bachelor's degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field

Masters degree preferred

Tools

Power BI

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 Responsibilities

• 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)