Data Culture & Enablement Lead

Arm; City Of London; Hybrid; GBP 111,000 - 138,000; Full time

Job summary

Arm is seeking a Data Culture & Enablement Lead on a 3-month contract (Inside IR35) in London. The role requires embedding a business-led data culture with data governance and stewardship, ensuring business users understand and adopt trusted data.

You will define data ownership, engage with senior stakeholders, and translate technical concepts for non-technical audiences while working closely with delivery teams in a hybrid, London-based setup.

Qualifications

• Knowledge of data governance and data management concepts.
• Ability to translate technical data concepts for business audiences.
• Experience in communications, training and engagement activities.
• Experience working with Data Owners and Data Stewards.

Responsibilities

• Build a business-led data culture across the organisation.
• Establish Data Owner and Data Steward roles and accountable structures.
• Bridge business and technology through credible conversations with delivery teams.
• Support Master Data Management and data governance initiatives.

Skills

Data governance

Data stewardship

Data quality

Stakeholder engagement

Change management

Training & coaching

Communication skills

Presentations

Business transformation

Job description

Data Culture & Enablement Lead

3-Month contract - Inside IR35 - £600-£750 per day

London based - 1 day a week onsite

We are looking for an engaging and credible Data Culture & Enablement Lead to help embed a business-led data culture across the organisation.

Responsibilities

Build a business-led data culture

Champion the importance of data as a business asset and help create a culture in which people understand their responsibility for creating, maintaining and using trusted data.

Translate concepts such as data governance, data quality, master data management, data ownership and data stewardship into clear, practical language that resonates with business users.

Develop compelling communications, training and engagement activities that explain not only what needs to change, but why it matters to the business.

Build enthusiasm and commitment rather than relying on governance being perceived as a set of centrally imposed rules.

Establish data ownership and stewardship

Help define, communicate and embed roles including Data Owner and Data Steward, ensuring individuals understand the responsibilities, decision rights and behaviours expected of them.

Work with business leaders to identify appropriate owners and stewards for key data domains.

Coach and support Data Owners and Data Stewards so that they can perform their roles confidently and effectively.

Build communities and forums that allow Data Owners and Data Stewards to share knowledge, resolve issues and develop consistent ways of working.

Bridge business and technology

Act as a trusted interface between business stakeholders and technical delivery teams.

Understand enough about data architecture, integrations, APIs, data models, Master Data Management and related technologies to hold credible conversations with technical specialists, while being able to translate technical concepts into language that business audiences understand.

Ensure that technology solutions support the required business behaviours rather than treating technology implementation as the end goal.

Bring business concerns, requirements and practical adoption challenges back into the technical programme.

Support Master Data Management

Help business stakeholders understand the value of Master Data Management and secure their participation in defining and governing key data domains.

Act as the bridge between business stakeholders and the teams designing and implementing Master Data Management capabilities.

Skills & Experience

The successful candidate will combine data knowledge, communication ability and organisational change skills. They will be:

• Passionate about the value of data and able to make others care about it.
• Credible with senior business stakeholders, operational teams and technical specialists.
• An excellent communicator who can make complex data concepts simple, relevant and engaging.
• Confident delivering presentations, workshops, training and one-to-one coaching.
• Comfortable challenging existing behaviours and ways of working constructively.
• Able to influence people without necessarily having direct authority over them.
• Pragmatic and commercially/business focused rather than overly theoretical about data governance.
• Naturally outgoing and comfortable building relationships across organisational boundaries.
• Able to connect individual decisions about data with their wider end-to-end consequences.

Knowledge and Experience

Ideally, the individual will have experience in several of the following areas:

• Data governance and data management.
• Data ownership and data stewardship operating models.
• Data quality and data-quality improvement.
• Master Data Management.
• Business or digital transformation.
• Organisational change and adoption.
• Stakeholder engagement and communications.
• Training, facilitation and workshop delivery.
• Enterprise systems and system integration.
• Data architecture, data models and data flows at a level sufficient to engage confidently with technical teams.

Deep engineering expertise is not required. However, the individual must have enough technical understanding and curiosity to work credibly with data architects, integration specialists, developers and technology delivery teams.