Enterprise Architect Lead

Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services. With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their operations and protect what matters most - their people and assets. ---------------------------------------------------------------------------------------------------------------------------------- Role Purpose The Data Domain Manager for Finance Data is the leader responsible for developing, defining, measuring, and continuously driving the quality of Finance master, meta and reference data. The objective is to provide trusted and fit-for-purpose finance data in the Global Data Platform and across the system landscape. The role is the strategic link between Finance and IT to ensure data continuously meets all downstream and upstream business and system requirements. Key stakeholders are global, divisional and local Finance as well as Operations, Legal and People functions. Within IT, this role collaborates closely with the divisional and local IT teams as well as the Global Data Platform, Data Governance, Enterprise Data Architecture, and Business Architecture. ---------------------------------------------------------------------------------------------------------------------------------- Responsibilities Understand and Co-Own Finance Data End-to-End * Understand and record end-to-end finance data processes (CRUD) from cradle to grave (for ex. Lead to order, invoice to cash, record to report, financial close etc.) in collaboration with Business Architecture * Define data roles and responsibilities in these processes together with CFO community and Finance business partners end to end (from Commercial, Operations, etc.) in collaboration with Data Governance. * Continuously collect, document and agree Finance data requirements and filter, prioritize and manage change. Drive the Implementation of the Common Information Model for Finance Data * Ensure, together with the Finance sponsor that Finance data is consistently represented across all systems (for ex. Commercial, Finance, HR and Operations) in alignment with the Common Information Model designed by the Enterprise Architecture . Particularly critical are costs and revenue allocation and collection, charts of accounts etc. * Collect, filter and manage data model change requests from the business and involve Enterprise Data Architecture to generate impact analyses and update schedules of the CIM. * Track and oversee the implementation of such changes in collaboration with the Finance sponsor. Manage Fit-for-Purpose Data Quality * Measure and report on compliance of Finance data in the Global Data Platform and other core systems against the CIM data model. * Analyze root causes for poor data quality and develop action plans with the Finance sponsors to remediate defects and remove root causes. * Develop training material, and provide support to individuals who take over Finance data roles (new Controlling, Accounting or even Commercial staff etc.) * Collaborate with Privacy, Compliance, and Security to ensure data practices meet legal and regulatory requirements. Manage the Finance Data Service * Develop and agree V1 of Service Artefacts (Service Description, Process Summary, Operating Model, etc.) * Create effective communication channels with different stakeholder groups for business-as-usual and initiative specific updates. * Agree and execute engagement models with key stakeholders including regular reviews to discuss data quality, remedial action plans, etc. * Develop, agree and maintain a roadmap of Finance data improvement initiatives. Change Management & Communication * Communicate data standards, governance procedures, and changes clearly across Finance and the business. * Provide training, guidance, and support to ensure consistent data entry and stewardship. * Promote the adoption of new data processes that reduce manual work and improve data reliability. ---------------------------------------------------------------------------------------------------------------------------------- Required Competencies & Skills Analytical Skills * Strong ability to investigate data issues, identify root causes, and recommend improvements. * Strong experience working in complex technological environments and heterogeneous business set-ups Leadership & Communication * Strong influencing skills to drive alignment across Finance and business stakeholders. Comfortable liaising with divisional and country CFO as well as CIO * Ability to facilitate governance discussions and communicate complex topics in simple terms. Finance & Business Knowledge * 15 + years of Finance Transformation / Finance Digital Transformation experience. * Good experience working through Finance processes and lifecycle data. * Familiarity with Coste Centre structures / General Ledgers, Treasury concepts etc. Data Governance & Modeling Expertise * Experience with master data management, metadata governance, and enterprise data models. * Ability to translate business requirements into data definitions and model changes. Systems Knowledge * Experience with Finance platforms (e.g., SAP ERP, Oracle ERP.) and data governance or MDM tooling. ---------------------------------------------------------------------------------------------------------------------------------- Success Measures Finance data availability and quality * Share of quality-assured Finance data (as % of revenue) available for end-user consumption in the DCP in the CIM format * Higher accuracy and consistency of key Finance data, including cost center and general ledger structures etc. Reduced Manual Effort for Controlling and Accounting Leaders * Noticeable decrease in time spent maintaining spreadsheets, fixing data, or reconciling conflicting information. * Leaders and Finance can access reliable data without additional manual validation. Single Digital Source of Truth Established * Consolidated, accurate and aligned Finance data in the Global Data platform and in the system landscape in general Clear & Adopted Data Standards * Agreed, documented, and actively used master data definitions for Finance, Accounts, Cost Centers, and Organizational structure. * Finance teams operate with aligned data standards across functions. Effective Data Governance Operating Model * Regular data governance forums established and functioning. * Clear ownership and accountability for all major Finance data elements. ---------------------------------------------------------------------------------------------------------------------------------- Working conditions This role is open for candidates based in each location where Securitas has the legal entity (Global) - Our global presence | Securitas Group. It's a hybrid working model (office regulations depending on the specific country). ---------------------------------------------------------------------------------------------------------------------------------- What we offer At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of skills and development opportunities. If this sounds like the right next step in your professional career, don't hesitate and apply!

Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services. With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their operations and protect what matters most - their people and assets. ---------------------------------------------------------------------------------------------------------------------------------- About the role The Junior Business & Data Analyst supports the Data Transformation Program by helping Data Domain Owners, Data Sponsors and Data Domain Stewards understand, assess and improve data quality and consistency across systems, platforms, business processes and data domains. The role provides hands-on business and data analysis to identify data issues, support root-cause analysis, document requirements, and contribute to practical remediation and prevention actions. The role initially focuses on the alignment of client-related data points across a complex system landscape, including 40+ Workforce Management systems, the central CRM platform and approximately 60 ERP applications. This requires the analyst to compare, map and validate client data across local, divisional and global applications, identify inconsistencies, document root causes and support practical remediation and prevention actions. While the initial assignment is client-data focused, the role is expected to remain flexible and move across domains, systems, applications and business processes as required by the Data Transformation Program. This may include domains such as Client, People, Finance, Contracts, Suppliers, Products & Services and Operational Events; processes such as lead-to-cash, hire-to-retire and procure-to-pay; and systems or platforms such as CRM, ERP, Workforce Management, HRIS, Learning Management, Microsoft Azure, Databricks, Microsoft Dynamics NAV / Business Central and other relevant local, divisional or global applications. We are looking for a motivated self-starter who is curious, proactive and comfortable working with modern tools and techniques. The successful candidate should be willing to explore and apply automation, robotic process automation, AI-assisted analysis and other emerging capabilities to reduce manual effort, improve data quality and accelerate insight generation. ---------------------------------------------------------------------------------------------------------------------------------- Responsibilities Business and Data Analysis * Support the analysis of data quality, completeness, consistency and usability across source systems, data platforms and reporting layers. * For the initial project, compare and align client-related data points across 40+ Workforce Management systems, the central CRM platform and approximately 60 ERP applications. * Assist in documenting end-to-end data flows, business processes, CRUD activities and handovers between business and IT teams. * Map data elements across systems to identify mismatches, missing values, duplicates, inconsistent definitions and recurring defects. * Prepare clear analysis outputs, issue summaries and supporting evidence for Data Domain Owners, Sponsors and Stewards. Data Quality Improvement and Root-Cause Support * Support root-cause analysis for recurring data quality issues and help distinguish between data correction needs, process gaps, system limitations, integration issues and training needs. * Help define and track remediation actions with local, divisional and global stakeholders. * Support the preparation of data quality dashboards, scorecards, issue logs and action plans. * Monitor progress against agreed data quality improvement activities and escalate risks or blockers where needed. Requirements and Functional Specification Support * Gather and document business and data requirements from data consumers, process owners and operational stakeholders. * Translate data issues and business needs into clear functional requirements for system enhancements, automation or process changes. * Identify opportunities to use automation, robotic process automation and AI-assisted techniques to reduce repetitive manual work, improve data validation and support scalable remediation. * Support impact analysis by collecting relevant context, examples and affected data elements. * Maintain structured documentation of requirements, decisions, assumptions and open questions. Stakeholder Coordination and Communication * Collaborate with local, divisional and global business teams across Sales, Account Management, People, Finance, Operations, Legal and other relevant functions. * Work closely with divisional and local IT teams, the Global Data Platform team, Data Governance and Enterprise Data Architecture. * Prepare meeting materials, analysis summaries and follow-up notes to support aligned decision-making. * Communicate data findings in a simple, structured and business-friendly way. Data Governance and Documentation * Support documentation of data definitions, data standards, business rules, ownership and stewardship responsibilities. * Contribute to maintaining inventories of data issues, critical data elements, data quality rules and data improvement actions. * Help ensure that data practices are aligned with governance, privacy, compliance and security expectations. * Support adoption of common data definitions and the Common Information Model across domains and systems. ---------------------------------------------------------------------------------------------------------------------------------- Requirements * Strong analytical mindset with the ability to investigate data issues and identify patterns, inconsistencies and root causes across multiple systems. * Good understanding of business processes and interest in how data supports operational, financial and commercial decision-making. * Ability to work with unfamiliar systems and applications, quickly understand their data structures and translate findings into business language. * Ability to structure information clearly, document findings and communicate complex topics in simple terms. * Good collaboration skills and confidence working with stakeholders across business and IT. * Working knowledge of Excel and/or Power BI; familiarity with SQL, data platforms, ERP, CRM, Workforce Management, HRIS or MDM tools is an advantage. * Curiosity and practical interest in modern digital tools and techniques, including automation, robotic process automation and AI, to improve productivity and analysis quality. * Attention to detail and ability to work in a structured way across multiple tasks, issues and stakeholders. * Self-starter mindset with the motivation to take ownership, learn quickly, ask good questions and progress analysis with limited supervision. * Fluent written and spoken English. Experience and Education * Bachelor’s degree or equivalent experience in Business Administration, Information Systems, Data Analytics, Finance, Engineering or a related field. * 0–3 years of experience in business analysis, data analysis, reporting, process improvement, data quality or related areas. * Experience from international, matrixed or multi-system environments is beneficial but not required. * Interest in data governance, master data management, enterprise data models, system integration and digital transformation. * Interest in using modern technology to solve business and data problems, including low-code tools, process automation, AI-assisted analysis and data quality automation. * Experience or interest in working across several business domains and system types, rather than being limited to one application or function. ---------------------------------------------------------------------------------------------------------------------------------- Working conditions This role is open for candidates based in: * Spain - Madrid or Barcelona * Poland * Sweden * Colombia * Mexico * India - Gurugram It's a hybrid working model (office regulations depending on the specific country). ---------------------------------------------------------------------------------------------------------------------------------- What we offer At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of skills and development opportunities. If this sounds like the right next step in your professional career, don't hesitate and apply!