Senior Data & Analytics Manager

Card Factory; Wakefield; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid working

Job summary

cardfactory is seeking an experienced Senior Data & Analytics Manager to shape the future of data across the business from our Wakefield base. You will lead the enterprise Data & Analytics capability and drive a modern data strategy that enables better decision making and governance.

Joining a hybrid model with 2-3 days in the Wakefield office, you will work with Technology and senior leaders to transform data into trusted insights that support growth and performance across the organisation.

Qualifications

• Proven experience leading enterprise Data & Analytics teams in a large organisation.
• Experience developing data strategies and roadmaps that drive business value.
• Strong understanding of enterprise data platforms and governance.
• Excellent stakeholder management and ability to explain complex data concepts.

Responsibilities

• Lead development of the enterprise Data & Analytics roadmap and platform governance.
• Collaborate with Technology and business leaders to translate data into actionable insights.
• Oversee data modelling, quality, security and self-service analytics.
• Engage senior stakeholders and prioritise demand to maximise business value.

Skills

Data strategy

Governance

Stakeholder management

Analytics leadership

Communicating complex data concepts

Tools

SAP Business Data Cloud

SAP Datasphere

SAP Databricks

SAP Analytics Cloud

Job description

At cardfactory, we're continuing to invest in our technology and data capabilities, and we're looking for an experienced Senior Data & Analytics Manager to help shape the future of data across the business. This is a fantastic opportunity to lead the development of our enterprise Data & Analytics capability, driving a modern data strategy that enables better decision making, stronger governance and increased use of data across the organisation. Working closely with Technology and business leaders, you'll play a key role in transforming data into trusted, accessible and actionable insights that support the continued growth of cardfactory. Based at our Support Centre in Wakefield, this role offers hybrid working with 2-3 days per week in the office.

What you'll be doing

You'll play a key role in developing and evolving cardfactory's enterprise Data & Analytics roadmap, ensuring our data platform, reporting capabilities and analytics solutions support business priorities and strategic objectives.Working closely with stakeholders across Technology, the Transformation Office and senior leadership teams, you'll help shape how data is used to improve decision making and business performance. The role will involve leading the development of scalable, governed and reusable data products, whilst establishing best practice across data modelling, governance, quality, security and analytics. You'll work across SAP Business Data Cloud technologies, including Datasphere, Databricks and Analytics Cloud, to ensure the business has access to trusted data and meaningful insights. You'll provide leadership to internal teams and delivery partners across data, engineering and analytics disciplines, helping to build a high-performing function capable of delivering long-term value. You'll also play a key role in engaging senior stakeholders, prioritising demand, translating complex requirements and ensuring investments in data and analytics deliver measurable business outcomes.

What we're looking for

• Proven experience leading enterprise Data & Analytics teams within a large, complex organisation
• Strong experience developing and delivering data strategies, roadmaps and analytics capabilities that drive business value
• Experience with SAP Business Data Cloud, SAP Datasphere, SAP Databricks, SAP Analytics Cloud or similar enterprise data platforms
• Strong understanding of data governance, data modelling, data quality and self-service analytics
• Excellent stakeholder management skills, with the ability to communicate complex data concepts to both technical and non-technical audiences