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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 perks,



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

📌 SR AI Analytics (India)
🏢 TE Connectivity
📍 India