Value Realization Lead – Data Scientist
Job Summary
Lead the development and execution of value-realization frameworks across the organization. Drive measurable business outcomes through data-driven insights, SAP value mapping, KPI frameworks, and strategic performance tracking. Ensure that transformation initiatives deliver quantifiable value in cost, revenue, efficiency, and strategic impact.
Key Responsibilities
Value Framework & Business Modelling
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Build and maintain standardized value-realization models across industries and business units.
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Map each business into industry-specific value drivers, benchmarks, and KPI structures.
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Translate corporate strategic goals into actionable KPIs, targets, and measurable outcomes.
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Develop end-to-end Value Trees that link operational KPIs to financial impact.
SAP Value & System Integration
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Identify SAP modules, processes, and data points influencing business value creation.
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Use SAP operational statistics (T-Codes, subprocess cycles, workflow analytics) to identify bottlenecks and improvement areas.
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Track and scorecard key SAP-related transactions that impact process efficiency, cost, or revenue.
Value Measurement & Reporting
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Conduct value realization assessments covering cost savings, revenue uplift, productivity, and cycle-time reduction.
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Establish a governance mechanism to continuously monitor, validate, and report value.
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Build dashboards and scorecards to visualize value metrics and performance outcomes.
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Partner with business leadership to validate benefits, track adoption, and mitigate value leakage.
Data Analytics & Insights
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Perform advanced data analysis to quantify business value opportunities.
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Build predictive or statistical models where required to support value estimates.
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Extract insights from cross-functional datasets to support decision-making, prioritization, and investment cases.
Stakeholder Management
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Work directly with business leaders, project managers, SAP teams, and finance to align value targets and tracking.
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Deliver customer-facing presentations, value reports, and executive summaries.
Job Knowledge & Skills
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Strong understanding of
SAP
(S/4HANA, ECC, SAP Analytics Cloud) and integration across modules.
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Ability to interpret SAP process metrics, T-Code execution patterns, and process cycle analytics.
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Solid knowledge of
value frameworks
, business modelling, OKRs, KPIs, and performance scorecards.
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Strong
data analytics
skills (SQL, Python, or equivalent analytical tools preferred).
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Ability to quantify value across cost, revenue, efficiency, and quality metrics.
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Experience with enterprise architecture or business process architecture is an advantage.
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Strong communication skills with customer-facing experience.
Experience
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Minimum 8 years
total experience, including
5 years in a supervisory / lead role
.
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Experience in
Value Realization, Data Analytics, SAP functional roles, Enterprise Architecture, or Business Transformation
.
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2 years of GCC experience
is preferred.