AI Analytics and Visualization Engineer (Bengaluru)

AI Analytics and Visualization Engineer (Bengaluru)

30 Sep
|
WhiteCrow Research
|
Bengaluru

30 Sep

WhiteCrow Research

Bengaluru

About WhiteCrow

We are global talent research, insight, and sourcing specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client’s in-house talent acquisition teams.

About our client 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.

About the role

- 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

As an AI Analytics and Visualization Engineer , you will be responsible for...

Value Definition & Business Case Support

- Partnering with AI Transformation Engineers during opportunity assessments.
- Establishing baseline metrics, value hypotheses, and expected business outcomes.
- Defining standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.
- Developing 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.




- Challenging assumptions and ensuring value estimates are fact-based and measurable.

Portfolio Measurement & Reporting

- Developing and maintaining AI portfolio dashboards and KPI reporting.
- Tracking solution adoption, utilization, and business impact.
- Collecting and analyzing deployment performance data.
- Ensuring consistent reporting across all AI initiatives.
- Generating monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.

Value Realization & Validation

- Validating achievement of project objectives and business benefits.
- Monitoring sustainability of realized benefits after deployment.
- Identifying underperforming initiatives and recommending corrective actions.
- Supporting prioritization decisions using objective performance and value data.
- Developing standardized value realization methodologies and reporting processes.
- Designing measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.

Advanced Analytics

- Performing portfolio analytics and trend analysis.
- Supporting executive decision-making with actionable insights.
- Maintaining data quality and governance standards for AI program reporting.
- Building Power BI dashboards and reporting solutions.

What you already have... 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.
- Robust 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.

📌 AI Analytics and Visualization Engineer (Bengaluru)
🏢 WhiteCrow Research
📍 Bengaluru

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