SR AI Analytics & Value Realization...

The AI Analytics & Value Realization Engineer ensures that Artificial Intelligence initiatives deliver measurable business value across ICT Engineering. Key responsibilities include establishing value measurement frameworks, validating benefits through performance dashboards, and enabling data-driven decision-making throughout the AI portfolio. As a primary subject-matter expert in this role, you will drive AI adoption measurement, business impact reporting, value realization tracking, and comprehensive portfolio analytics.

KEY RESPONSIBILITIES:

• Opportunity Assessment & Partnering:
• Collaborate closely with AI Transformation Engineers during initial opportunity assessments to define success metrics early in the project lifecycle.
• Establish robust baseline metrics, formulate value hypotheses, and set clear expected business outcomes for new initiatives.
• Define standardized measurement methodologies and rigorous evidence requirements for all AI projects. Clearly distinguish between forecasted potential, validated results, realized benefits, and sustained long-term value.
• Metric Development & Productivity Analysis:
• Create sophisticated approaches to measure engineering productivity gains and operational efficiencies (e.g., time savings, cycle-time reduction, quality improvements, throughput increases).
• Develop metrics for adoption rates where direct financial measurement is not immediately feasible.
• Challenge assumptions rigorously to ensure all value estimates are fact-based, measurable, and defensible.
• Portfolio Measurement & Reporting:
• Design, develop, and maintain comprehensive AI portfolio dashboards and KPI reporting structures.
• Actively track solution adoption rates, utilization metrics, and tangible business impact across the organization.
• Collect and deeply analyze deployment performance data to identify trends and anomalies.
• Maintain consistent reporting standards across all diverse AI initiatives within the enterprise.
• Generate high-quality monthly reports for ICT Engineering leadership, ICT AI leadership, and segment-level AI stakeholders.
• Value Realization & Validation:
• Serve as a gatekeeper to validate that project objectives are met and business benefits are genuinely achieved.
• Monitor the sustainability of realized benefits post-deployment to ensure lasting impact.
• Promptly identify underperforming initiatives, analyze root causes, and recommend strategic corrective actions.
• Leverage objective performance data to support critical prioritization decisions for resource allocation and portfolio management.
• Methodology & Process Design:
• Develop standardized value realization methodologies that scale across the organization.
• Craft measurement approaches that effectively compare pre- and post-deployment performance, providing credible evidence that observed improvements are directly attributable to deployed solutions.

This role generally requires a Bachelor's degree in an appropriate field with a minimum of 5 years of progressively responsible professional experience. Candidates holding a Master's degree or higher, or possessing equivalent local qualifications/experience, may be preferred for this seniority level.