ABOUT IRIS
IRIS Software Group is one of the UK's largest privately held software companies, trusted by 100,000+ businesses, schools and accountancy firms to keep their operations running. Our software pays 1 in 6 UK employees, supports over 12,000 schools, and is relied on by 91 of the top 100 UK accountancy firms.
We're a Great Place to Work® certified employer, recognised for our commitment to well-being, inclusion and development - and we're growing fast.
Transform Engineering Data into Strategic Decisions
IRIS's Engineering teams generate a significant volume of data across multiple sources, from engineering metrics and tooling telemetry to workforce data, product telemetry and programme reporting.
Today, much of this data exists in separate systems, is manually consolidated when needed, and does not consistently feed into standardised dashboards that support decision-making across teams, divisions and the executive leadership team.
We're looking for a highly analytical and commercially minded leader to change that.
This role will establish the reporting, metrics and data foundations that enable the Engineering Transformation Programme to operate with a consistent, evidence-based view of progress. You'll connect disparate data sources, build trusted reporting frameworks, and deliver insights that genuinely help leaders make better decisions.
This isn't purely a Data Engineering role, and it isn't purely a Business Intelligence role. Success requires someone who can move seamlessly between the technical and the practical, understanding the underlying data while delivering outputs that are useful to the people making decisions.
The ideal candidate combines analytical rigour with pragmatism, understanding that a useful dashboard delivered today is often more valuable than a perfect dashboard delivered too late.
What You'll Be Doing
Engineering Data & Reporting Strategy
You'll own the end-to-end data and reporting capability supporting the Engineering Transformation Programme.
Key responsibilities include:
- Collate and integrate data from multiple sources across the engineering estate — including Jira, GitHub/Azure DevOps, Datadog, Aha!, HR systems and programme-specific trackers.
- Design and own the metrics framework for the Engineering Transformation Programme, covering engineering productivity, quality, delivery and workforce transition.
- Build and maintain dashboards and reports for programme leadership, divisional VPs, the CTO and the CPO, ensuring they are accurate, timely, and fit for purpose.
- Translate stakeholder questions into data problems and data findings into accessible outputs. Understand what a VP actually needs to see, not just what the data can produce.
- Establish repeatable, low-maintenance data pipelines where possible, reducing the reliance on manual collation and one-off analysis.
- Support the Central VP's and the Director of Agentic SDLC with data and reporting relevant to their workstreams.
- Flag data quality issues proactively. Where source data is inconsistent, missing, or unreliable, surface that clearly rather than papering over it, ideally with an accompanying solution.
Delivering Trusted Insights
You'll serve as the analytical backbone of the Engineering Transformation Programme, supporting leaders with accurate and actionable reporting.
You'll:
- Create executive-level dashboards that drive informed decision-making.
- Build consistent metrics and reporting standards across programme workstreams.
- Develop reporting frameworks that can scale with organisational maturity.
- Ensure stakeholders can trust the integrity and accuracy of the data they rely on.
- Identify trends, risks and opportunities within engineering and workforce data.
Future Growth Areas
- As the programme matures and the supporting data infrastructure evolves, the role is expected to expand into strategic areas including:
- Quality signals as a product input, helping close the loop between Datadog, Pendo and the PDLC so…