SR AI Analytics & Value Realization Engineer

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