Data Manager

Arcus FM Limited; Milton Keynes; On-site; GBP 40,000 - 55,000; Full time

Job summary

A facilities management company in Milton Keynes is seeking a Data Manager responsible for ensuring data accuracy and integrity across systems, particularly focusing on the Ostara CMMS platform. The role requires strong collaboration with multiple teams, and applicants should have experience in data governance and familiarity with asset management processes. Key skills include attention to detail, proactive problem-solving, and proficiency in tools like Power BI.

Qualifications

• Strong understanding of facilities management and engineering asset data.
• Experience working with CMMS platforms, preferably Ostara.
• Proven ability to build and manage data taxonomies and hierarchies.
• Skilled in data validation, change control, and governance processes.

Responsibilities

• Ensure consistent and accurate data across all systems, particularly Ostara CMMS.
• Collaborate with teams to build and maintain data taxonomy.
• Lead the use of asset collection tools for ongoing validation.
• Understand and document operational workflows for data capture.

Skills

Understanding of facilities management

Data validation

Change control

Collaboration skills

Attention to detail

Proactive problem-solving

Experience with Power BI

Tools

Ostara CMMS

Power BI

SQL

DAX

Power Query

Job description

This role plays a critical part in ensuring the integrity of our data ecosystem-supporting accurate reporting, enabling actionable insights, and underpinning strategic decision-making. If you're passionate about structured, high-quality information and understand the operational realities of Facilities Management and engineering, this is an opportunity to make a tangible impact.

As the Data Manager, you will take ownership of data accuracy and workflow alignment across our systems, with a particular focus on the Ostara CMMS platform. You'll be at the centre of cross-functional collaboration, working with asset, engineering, operational, and reporting teams to ensure our data is complete, consistent, and meaningful.

Data Consistency & Governance

• Ensure consistent and accurate data across all systems, particularly Ostara CMMS, through robust change control and validation processes.
• Develop and maintain data governance protocols to support operational workflows and reporting.

Asset & Workflow Data Management

• Collaborate with the Asset Manager and CAD Planner to build and maintain a comprehensive data taxonomy, including location hierarchies and asset classifications.
• Identify key data points within engineering and FM workflows and ensure appropriate data capture and organisation.

Asset Collection & Validation

• Lead the use and optimisation of asset collection tools to ensure ongoing validation and completeness of asset data.
• Support field teams and contractors in capturing accurate asset information during mobilisation and lifecycle updates.

Operational Workflow Mapping

• Understand and document operational workflows to identify all relevant data collection points.
• Work with stakeholders to ensure data is embedded into processes and supports performance management.

Central collaboration

• Collaborate with the Data and MI Centre of Excellence to ensure that we benefit from support and direction and future developments.

Reporting & Insights

• Support the Business Reporting Analyst and wider team in generating reports and dashboards using Power BI.
• Provide data-driven insights and problem-solving support to operational teams.

Knowledge and Experience:

• Strong understanding of facilities management and engineering asset data, including familiarity with SFG20 standards.
• Experience working with CMMS platforms (preferably Ostara) and asset management systems.
• Proven ability to build and manage data taxonomies and hierarchies.
• Skilled in data validation, change control, and governance processes.
• Ability to interpret operational workflows and translate them into structured data requirements.
• Experience supporting reporting and analytics using tools such as Power BI, SQL, DAX, and Power Query.
• Familiarity with data warehousing concepts and querying structured datasets.
• Excellent attention to detail and a proactive approach to problem-solving.
• Strong communication and collaboration skills across technical and operational teams.