Software Delivery Manager (Data Products / SaaS)
Location: Blackfriars, London (5 days onsite)
We are looking for an experienced Software Delivery Manager / Agile Delivery Manager to lead the end-to-end delivery of data-driven products within a fast-paced, data-centric environment.
This role is ideal for someone who thrives in SaaS or subscription-based businesses, where products are built around data, analytics, and insights, and where delivery decisions are driven by metrics and performance.
The Role
You will take full ownership of delivering a data-focused product or platform, working closely with cross-functional teams including engineering, data engineering, and analytics.
This is a hands-on delivery leadership role requiring a strong understanding of how data flows through systems, combined with the ability to use metrics and reporting to drive outcomes.
Key Responsibilities
Own end-to-end delivery of data products and platforms
Lead Agile delivery (Scrum/Kanban), ensuring predictable and high-quality outcomes
Work closely with engineers, data engineers, and analysts to deliver scalable data solutions
Drive delivery performance using data, reporting, and KPIs
Oversee data pipelines (ETL), reporting layers, and dashboards
Track and optimise delivery metrics such as velocity, cycle time, lead time, and throughput
Ensure alignment between business goals, product outcomes, and delivery execution
Provide visibility to stakeholders through clear reporting and insight-driven updates
Required Experience
Proven experience as a Delivery Manager / Agile Delivery Manager within data-driven or SaaS environments
Strong understanding of data products, analytics platforms, or insight-led solutions
Experience working with cross-functional technical teams (engineering, data, analytics)
Solid knowledge of data pipelines (ETL), dashboards, and reporting frameworks
Experience using delivery and product metrics to drive decision-making
Background in mid-sized (mid-market) organisations, with broad ownership across delivery
Technical & Data Capability (Essential)
Candidates must be able to demonstrate hands-on familiarity with data environments, including:
Tools: Python, SQL, Tableau/Power BI (or similar)
Data concepts: ETL pipelines, data modelling, reporting layers
Metrics: Accuracy, latency, completeness, recall/precision (where relevant)
Ability to confidently interpret and challenge data to inform delivery decisions
We are specifically looking for someone who can clearly demonstrate:
How they measure performance
What tools they use
How they report insights
Why Join
Work on data-centric products that directly drive business value
High visibility role with end-to-end ownership
Collaborative, fast-moving mid-sized environment
51397MS
INDLON
The Portfolio Group are acting on behalf of our client in recruiting for this position