Review Requests For Proposal (RFP). Identify information for proposal text and budget development and work closely with proposal development team to prepare and finalise proposals.
Prepare text and budget for proposals, rebids and related documents.
Provide support and assistance to other Proposal Developers in the delivery of assigned opportunities.
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Technical knowledge in SAP S/4HANA HR Development, ABAP, RAP, CDS Views, AMDP, SAP Fiori, SAPUI5/OData, Business Objects, SQL, and SAP HANA would be an advantage.
Familiarity with Employee Central integrations, including Business Integration Builder (BIB), UI Mashups, data replication, and SSO setup/support, is beneficial.
Experience supporting global HR systems and collaborating with stakeholders across multiple regions is preferred.
Business Advisory & Data Quality Consulting: Partner closely with data creators, stewards, consumers, and IT teams to establish data quality dimensions, rules, and indicators that ensure our data remains usable, timely, robust, and compliant
Framework & Policy Design: Design and maintain policies, methodologies, guidelines, and metrics for data quality, profiling, and cleansing
Rule Definition & Profiling: Collaborate with business stakeholders to identify critical data attributes, profile datasets, analyze requirements, and translate business logic into automated data quality rules
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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Fulfil all applicable statutory DPO obligations for the Entity
Ensure that applicable legal obligations regardless of market are identified and operationalized within the services provided, recognizing that each market’s laws may impose obligations on centrally processed data regardless of where processing physically occurs
Provide expert guidance on data privacy obligations, advising on data compliance, and embedding privacy-by-design principles in processes from the outset
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
...
Fulfil all applicable statutory DPO obligations for the Entity
Ensure that applicable legal obligations regardless of market are identified and operationalized within the services provided, recognizing that each market’s laws may impose obligations on centrally processed data regardless of where processing physically occurs
Provide expert guidance on data privacy obligations, advising on data compliance, and embedding privacy-by-design principles in processes from the outset
...
Business Advisory & Data Quality Consulting: Partner closely with data creators, stewards, consumers, and IT teams to establish data quality dimensions, rules, and indicators that ensure our data remains usable, timely, robust, and compliant
Framework & Policy Design: Design and maintain policies, methodologies, guidelines, and metrics for data quality, profiling, and cleansing
Rule Definition & Profiling: Collaborate with business stakeholders to identify critical data attributes, profile datasets, analyze requirements, and translate business logic into automated data quality rules
...
Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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Migration Strategy Execution: Lead the design and execution of comprehensive data migration frameworks, policies, and processes to smoothly transition legacy data into the new ERP environment
Advanced Governance & Compliance: Design, implement, and maintain advanced enterprise-level data governance frameworks that scale across the organization, ensuring robust data compliance practices
Complex Problem Solving: Tackle highly complex data migration anomalies and discrepancies, performing root-cause analysis to protect the integrity of corporate data
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