Role Purpose
The Head of Reporting & Analytics Delivery provides leadership for the organisation’s reporting, analytical outputs, and stakeholder-facing data products.
The role exists to ensure that:
- Reporting and analytics are aligned to business priorities
- Delivery is predictable and transparent
- Stakeholders understand what is available and what is in progress
- Data products are usable, trusted, and fit for decision-making
The role focuses on:
- Turning data capability into business value
- Managing delivery flow and engagement
- Ensuring analytics outcomes are visible and understood
Scope and Impact
The role:
- Leads the delivery of reporting and analytical services
- Owns how business demand enters, flows through, and exits the team
- Shapes the way analytics is presented and consumed
- Influences senior stakeholders on effective use of reporting and insight
The Head of Reporting & Analytics Delivery operates with:
- Autonomy over delivery approach and stakeholder engagement
- Responsibility for prioritisation and sequencing
- Accountability for business-facing analytical outcomes
Key Responsibilities (SFIA-8 Aligned)
Strategy and Direction
(SFIA: Information Strategy, Business Analysis)
- Define the vision for reporting and analytics consumption
- Align reporting priorities with business strategy
- Shape how insight is used in decision-making
- Balance tactical reporting needs with strategic analytical development
Reporting and Analytics Delivery
(SFIA: Programme & Project Management, Business Intelligence)
- Ensure reports and analytical products are delivered:
- Predictably
- Clearly
- To agreed quality standards
- Own the reporting delivery operating model
- Coordinate delivery across reporting and engineering teams
- Monitor dependencies, risks, and capacity
Stakeholder Engagement
(SFIA: Stakeholder Relationship Management)
- Act as primary interface between:
- business users
- reporting teams
- data engineering
- Establish clear feedback loops
- Ensure expectations are managed and visible
- Promote shared ownership of analytical products
Demand Management and Prioritisation
(SFIA: Portfolio Management, Demand Management)
- Define how reporting and analytics requests are:
- captured
- assessed
- prioritised
- Balance competing stakeholder needs
- Maintain transparency of:
- what is being worked on
- what is queued
- what is at risk
Standards, Governance and Quality (Shared)
(SFIA: Governance, Quality Management)
- Partner with Data Engineering leadership to:
- apply standards
- uphold definitions
- ensure consistency
- Embed governance into reporting delivery
- Ensure analytical outputs meet assurance and control expectations
Capability and Community Leadership
(SFIA: Learning & Development Management)
- Develop the reporting and analytics community
- Promote good practice in:
- report design
- visualisation
- analytical storytelling
- Encourage collaboration between:
- analysts
- engineers
- business users
Ways of Working
The Head of Reporting & Analytics Delivery:
- Operates close to the business
- Focuses on outcomes rather than platforms
- Makes work visible and progress measurable
- Uses rhythm and cadence rather than heroics
- Ensures reporting and analytics are understood, not just delivered
Skills and Experience
Analytical and Delivery
- Strong background in:
- business intelligence
- reporting platforms
- analytical methods
- Experience delivering analytical products at scale
- Understanding of:
- data pipelines
- modelling concepts
- data quality principles
Strategic and Organisational
- Able to:
- translate business needs into analytical priorities
- manage trade-offs
- coordinate across teams
- work with ambiguity
Interpersonal and Leadership
- Trusted by senior stakeholders
- Skilled at:
- facilitation
- expectation management
- communication
- Builds confidence in data products
- Encourages shared ownership of insight
Success Measures
The role will be considered successful when:
- Reporting priorities are clear and agreed
- Delivery is predictable
- Stakeholders understand what is available and what is in progress
- Reports are actively used in decision-making
- Analytical work is aligned with business strategy
- Friction between reporting and engineering is reduced
SFIA 8 Alignment (Indicative)
Primary SFIA skills at Level 5 include:
- Information Strategy
- Business Intelligence
- Stakeholder Relationship Management
- Portfolio Management
- Programme & Project Management
- Governance
- Learning & Development Management
Relationship to Principal Data Engineer
This role complements the Principal Data Engineer by:
- Turning data capability into business-facing outcomes
- Owning delivery flow and stakeholder rhythm
- Ensuring priorities are visible and managed
- Providing feedback into architectural and data design decisions
Together, the two roles cover:
How data is built and how data is used
without duplication or competition.
If you want, next I can:
✅ Put your Principal role and Sam’s role side-by-side
✅ Convert both into your internal role template format
✅ Create a combined operating model diagram (lanes)
✅ Draft a joint statement to management
✅ Stress-test this for overlaps or political risk
Just tell me which you want next.