Senior Manager - Unify Data

This role supports the E2E DCR (End to End Digital Customer Relationship) driving the data transformation agenda for UNIFY and E2E DCR

The End-to-End Digital Customer Data Office supports as many as 5 domain data offices and has the responsibility for their respective data Maturity, following the DCAM playbook. Today’s main gaps for the scalability of our Data Offices within E2E DCR are 1) the appropriate mapping and architecture of our data and 2) the lack of an organized and efficient way to access and consume the data from any of the multiple systems it may reside in.

Unify is our business transformation program that brings together Schneider Electric’s business, supply chain and finance processes into 1 coherent, standardized and simplified global set of processes. The program includes all the actions related to the re-engineering of our processes through the adoption of SAP S4 HANA public cloud (market standard processes) and hence the adaptation of the required processes to fit this standard, from a data, process, tool, and operating model point of view.

E2E DCR and UNIFY Collaboration

Partner with multiple streams (Domain/Sub-domain Data Teams, Domain/Business Models Business process owners, Central Governance team, Data Domain owners etc.) involved in the UNIFY program to clarify and drive the master data agenda necessary 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.

Act as a data and technology leader in Master data by

Identifying processes within the "Order to Cash" stream of the transformation program and understanding their global and local business flows.

Analysing end-to-end data flows between applications and SAP S/4HANA, measuring the impact on UNIFY’s "Order to Cash" processes.

Proposing optimization techniques for business architecture to enhance scalability, reliability, accuracy, and to reduce costs and complexity.

Enrichment of the target data model for SAP S/4HANA to ensure alignment with business requirements and adherence to best practices.

Establishing and overseeing data quality frameworks to guarantee accurate, consistent, and reliable data throughout the organization.

Leading the planning and validation of data migration activities to SAP S/4HANA, ensuring a smooth transition from legacy systems while minimizing disruptions.

Implementing robust data governance processes to manage data integrity, compliance, and security.

Developing a risk management framework to ensure compliance with regulatory requirements and internal policies.

Recommending appropriate technologies to enhance the scalability, reliability, and accuracy of master data.

DCR Data Office Responsibilities

Set the strategic vision and plans for the Master Data from DCR Data Office

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)

Convergence: standardization of data problem solving, data, tech, people practices and adoption of common language and change management

Cross-leverage: leveraging data assets, tech assets, tools and processes from across business functions and establishing global benchmarks)

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 DCR data offices.

Identify training needs and coordinate with the HC department to ensure facilitation of training requirements.

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.

Solid understanding of data architectures and modelling techniques, with the ability to drive the master data vision by collaborating with various application teams and business units across different geographies.

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.

Demonstrated ability to manage a diverse range of projects requiring detailed analysis, creative and practical problem-solving, and effective solution design.

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.

Why us?

At Schneider Electric we're committed to creating a workplace that gives you not just a job but a meaningful purpose in joining our mission to bring energy and efficiency to enable life, progress and sustainability for all.

We believe in empowering our team members to reach their full potential, fostering a sense of ownership in their work.

We embrace inclusion as a fundamental value, ensuring that every voice is heard and valued. We value differences, and welcome people from all walks of life. We believe in equal opportunities for everyone, everywhere.

If you want to be part of a company where your contributions truly matter, where you are empowered to make a difference and where inclusivity is valued, we would love to hear from you.

Discover your Meaningful, Inclusive and Empowered career at Schneider Electric.

€34.2bn global revenue

+12% organic growth

135 000+ employees in 100+ countries

#1 on the Global 100 World’s most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best.

We mirror the diversity of the communities in which we operate and we ‘embrace different’ as one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices.

You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.