AI Analytics and Visualization Engineer

For more than 80 years, our client’s engineers and product specialists have partnered with customers to produce highly engineered connectivity and sensing solutions that make a connected world possible. Their focus on reliability, durability, and sustainability exemplifies their commitment to progress. The unmatched range of their product portfolio enables companies, large and small, to turn ideas into technology that can transform how the world works and lives tomorrow.

Role Description:

• 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

Responsibilities:

Value Definition & Business Case Support

• 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.

Advanced Analytics

• Perform portfolio analytics and trend analysis.
• Support executive decision-making with actionable insights.
• Maintain data quality and governance standards for AI program reporting.
• Build Power BI dashboards and reporting solutions.

Requirements:

Experience & 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, 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.