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!