Delivery Program Manager

United Kingdom
Last week
Job Type
Permanent
Work Location
Hybrid
Posted
21 Apr 2026 (Last week)

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.

Role Overview

The Delivery Program Manager is responsible for coordinating and ensuring the smooth

execution of design work across enterprise projects.

This role focuses on production planning, resource coordination, and workflow consistency. It

ensures that design work is well-organised, clearly tracked, and delivered according to agreed

timelines and standards. This is an individual contributor role focused on execution, coordination, and operational reliability.

What You Will Own

1. Production Planning & Project Coordination

  • Coordinate the day-to-day execution of design projects

  • Build and maintain production schedules and timelines

  • Break down project scope into clear tasks and milestones

  • Ensure all work is properly briefed and ready for production

  • Track progress across all active projects and follow up on delays

  • Ensure deadlines and milestones are met according to plan

  • Identify risks early and proactively manage scope, timelines, and expectations

2. Resource Allocation & Workload Management

  • Manage how design work is distributed across the team

  • Assign work based on availability, skillset, and project needs

  • Maintain visibility of individual and team workloads

  • Ensure workloads are balanced and deadlines are achievable

  • Adjust allocations as priorities or timelines shift

  • Highlight capacity constraints or risks to the Solutions Manager

3. Delivery Tracking & Reporting

  • Provide clear visibility into project status and performance

  • Track progress against timelines and milestones

  • Maintain accurate project and resource tracking systems

  • Report on delivery status, risks, and delays to Creative Design Leadership

  • Support utilisation and capacity reporting

  • Ensure data used for reporting is accurate and up to date

4. Cross-Functional & Customer Alignment

Support alignment across teams involved in delivery through:

  • Acting as the coordination point for project updates and timelines

  • Ensuring stakeholders have clear and consistent information

  • Follow up on dependencies and required inputs

  • Escalate issues or blockers when needed

Experience & Profile

  • 3+ years experience in project management, creative operations, or delivery within a SaaS, agency, or professional services environment

  • Comfortable with Automation Tooling an automation frameworks for streamlining and reporting processes ( Zapier, Workato, Notion)

  • Strong customer-facing communication skills with enterprise stakeholders

  • Demonstrated experience managing multiple concurrent workstreams

  • Familiar with the use of Salesforce, Omni for Tracking and reporting

  • High operational rigor with comfort using project management tools and reporting frameworks

Related Jobs

View all jobs

Senior Technical Program Manager, Professional Services

Databricks London, United Kingdom
£80,000 – £120,000 pa On-site

Delivery Solutions Architect

Databricks London, United Kingdom

Sr. Delivery Solutions Architect

Databricks London, United Kingdom

Senior Product Manager, Analytics (m/f/d)

awin London, United Kingdom
£50,000 – £70,000 pa Hybrid

Staff Enablement Program Management

Databricks London, United Kingdom

Senior Technical Program Manager - Preclinical, London

Isomorphic Labs London, United Kingdom

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.