Senior AI Analytics and Value Realization Engineer

TE Connectivity India Pvt Ltd; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

TE Connectivity India Pvt Ltd is seeking an AI Analytics & Value Realization Engineer to drive measurable business value from AI initiatives in ICT Engineering. You will establish baselines, define value hypotheses, and develop dashboards to track adoption and impacts.

As a senior-level professional, you will validate outcomes, report progress to ICT leadership, and guide prioritization with data-driven insights. Collaboration with transformation engineers is essential.

Qualifications

• Bachelor's degree in Engineering, Data Analytics, Statistics or related field.
• Experience with analytics and visualization tools such as Power BI.
• Strong analytical and problem-solving skills.
• Experience developing and maintaining business metrics and measurement frameworks.
• Ability to translate complex data into actionable insights.
• Excellent communication and executive presentation skills.
• Knowledge of engineering, technology, or transformation programs preferred.

Responsibilities

• Establish value measurement frameworks and expected business outcomes.
• Develop AI portfolio dashboards and KPI reporting.
• Validate benefits and monitor sustainability post-deployment.
• Collaborate with AI Transformation Engineers during opportunity assessments.
• Support prioritization with objective performance data.
• Deliver monthly leadership reporting.

Skills

Power BI

Data Analytics

KPI reporting

Executive comms

Performance measurement

Dashboards

Education

Bachelor's degree in Engineering/Analytics/Statistics

Job description

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) Experience Level Senior Level