Job
Description
. This role supports the Customer Experience and Commercial Transformation (CXCT) organization, driving the data transformation agenda for UNIFY and CXCT. UNIFY is Schneider Electric s global business transformation initiative, integrating business, supply chain, and finance processes into a standardized, simplified global model. This transformation is enabled by the adoption of SAP Public Cloud (market standard processes), requiring re-engineering of processes, tools, data, and operating models to align with market-standard practices. CXCT and UNIFY Collaboration Partner with multiple streams (Domain/Sub-domain Data Teams, Business Process Owners, Central Governance, Data Domain Owners, etc.) to clarify and drive the Data Transformation for business transformation. Develop and implement a detailed plan that encompasses all data activities aligned with the goals of the transformation program, with a specific focus on unifying ERP systems within SAP S/4 HANA. Master Data Leadership o Serve as a data and technology leader for master data within the transformation program. o Act as a subject matter expert for the Order-to-Cash data stream, understanding global and local business flows and related data dependencies. o Analyze end-to-end data flows across applications and SAP Public Cloud, identifying impacts and opportunities for optimization. Data Architecture & Modeling o Enrich and align the target data model with business requirements and best practices. o Identify data owners and authoritative sources for each attribute to ensure accountability and traceability. o Define critical data elements (CDEs) for the data objects. Data Quality & Governance o Engage with data domain leaders to define governance requirements and implement tailored governance models. o Enforce data governance processes to uphold data integrity, compliance, and security. o Support the adoption of SAP Master Data Governance (MDG) and other relevant platforms. Data Migration o Understand business requirements and support the definition of the data migration strategy at the object level. o Define the scope of data objects and attributes to be included in migration activities. o Identify data cleansing rules and ensure their application across relevant data sets. o Ensure alignment of migration activities with transformation goals and data readiness. CXCT Data Office Responsibilities Cascade and adapt the data strategy and vision to all relevant teams including, but not limited to data domain offices. Clearly communicate strategy, agenda, priorities, ways of working to senior leaders, unit members and relevant stakeholders in the domain data offices Re-configure/Hire/Elevate resources to build the virtual delivery pool for DCR (e.g. tapping into the distributed resources) Establish o Convergence : standardization of data problem solving, data, tech, people practices and adoption of common language and change management o Cross-leverage : leveraging data assets, tech assets, tools and processes from across business functions and establishing global benchmarks) o Collaboration : build the right organizational structure and governance to share knowledge and scale Initiate data capability building and change management through workshops. Set-up or leverage current communities of practice (data governance, master data management) for value cross-pollination. Human Resources Responsibilities Support UNIFY data resources identification and hiring - Onboard with a minimal ramp up time. Support the build and management of the data operations network in domains and geos, leveraging the data business officer network. Provide mentorship for the purpose of developing a continuous talent pipeline for key roles in the CXCT data offices. Technical Requirements Over 10 years of experience in SAP S/4HANA implementation, with a strong understanding of Order to Cash business processes and data management. Expertise in driving the strategy, vision, and mission for data management, including but not limited to Master Data initiatives. Proven experience in identifying data requirements for relevant SAP business processes and ensuring that the necessary data is available. Hands-on experience in managing SAP data, including data mapping, migration, data quality, and analytics. Familiarity with SAP Master Data Governance and its capabilities is a plus. Experience in developing and implementing data quality improvement frameworks. Understanding of global data privacy and security guidelines and best practices is a plus. Fluent understanding of the technical architecture within a complex application landscape. Professional Competency Requirements Excellent interpersonal skills, strong verbal and written communication skills, attention to details, and intuitive storytelling ability Excellent problem-solving, organizational, and analytical skills with the ability to make high-velocity decisions quickly and based on data, industry trends and stakeholder feedback. Confidence, engaging leader, able to communicate a vision and bring people along on the journey. Pro-active problem solver with an ability to take initiative and have a strong sense of ownership over shaping and executing upon our analytics transformation initiatives. A change agent attitude, constantly pushing for new opportunities, more efficient processes, and new perspectives. The successful candidate will have an exceptional track record of working within businesses to tackle large-scale business problems, across multiple domains and functions. You must have commercial acumen, ability to understand business problems, exceptional interpersonal skills, and strong background in the data field. Furthermore, you will have a demonstrable track record of successfully building and managing scaled, high-quality, data solutions for internal or external organizations with high adoption rates. You must be a self-motivated, team player who can contribute to the overall business objectives of the organization.
