Global Operations Account Director

Publicis Groupe UK
London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Python Developer

Director of Data Science & AI – Global Manufacturing Transformation

Senior Data Scientist

Data Scientist

Senior Data Engineer

Company Description

Who We Are in the UK?

Spark Foundry, the Acceleration Agency.

We help brands to identify, learn and respond to opportunities faster than the competition.

Every client has an area of their business they need to accelerate, from short-term goals to long-term transformation.

We’ve proven our approach during the most difficult year on record. Now we’re using it to provide a launchpad for their future.

Come be an accelerator with us.

How we accelerate

  • Planning: an approach that works in practice rather than theory, arming planners with the ability to create cutting edge campaigns
  • Intelligence: a suite of tools that give definitive answers to big questions, and uncovers actionable insights about real people
  • Trading: a model built on flexibility and trusted relationships, underpinned with bold guarantees
  • Relationships: a culture of asking challenging questions to better understand the brief – we are not a ‘yes’ agency
  • People: a strong history of recruiting talent from diverse backgrounds and accelerating their careers

Our Commitment

We are diverse through our experience, people and the clients we look after - and we celebrate that diversity. Our people hold us accountable to our beliefs and via regular surveys and our grass roots D&I team, The Collective, and internal next generation board, Firestarters, we hold regular events and work continually towards generating ideas, initiatives and educating our people to ensure we are a diverse and inclusive agency.

As part of our dedication to create an inclusive and diverse workforce, Spark Foundry is committed to equal access to opportunity for people without regard to race, age, sex, disability, neurodiversity, sexual orientation, gender identity or religion.

Overview

Join Spark Foundry as Global Operations Account Director – Starting February!

Location:London, UK

Client:Meta (Instagram, WhatsApp, Facebook, Meta Quest, Ray-Ban Glasses)

Meta is significantly increasing its investment in media spend, and as their Global Media Agency of Record, we are expanding our team to support this exciting new scope. Spark Foundry is looking for a Global Operations Account Director.

Responsibilities

Your Role:

  • Operational Leadership:Lead on day-to-day operations management and reporting and it is important that you have experience as an accomplished Operational Manager in a media agency.
  • Financial Leadership:Oversee and facilitate the optimization and delivery of monthly and quarterly financial reporting and aid in the implementation of automation, enhancing efficiency in manual work streams.
  • Stakeholder Management:Liaise with the internal buying teams to achieve the common goal of delivering world-class work. You will need to be confident managing both up to the BD & MP as well as down to the Managers & Account Execs on your team.
  • Global Coordination:We work across three different business units, across international markets, and work closely with our US team, on one of the world’s most innovative and highly connected global accounts.

Qualifications

What You’ll Need:

  • Strong experience in both traditional and digital media including brand and performance media along with robust and broad knowledge of the industry and our agency positioning.
  • Exceptional communication, attention to detail and stakeholder management skills. You'll be responsible for the integration of the inter-agency team and maintaining strong relationships with clients and activation teams.
  • Passion for Meta’s mission and a deep understanding of digital ecosystems.

Additional Information

Sparkhas fantastic benefits on offer to all of our employees. In addition to the classics, Pension, Life Assurance, Private Medical and Income Protection Plans we also offer;

  • WORK YOUR WORLD:opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year.
  • REFLECTION DAYS:Two additional days of paid leave to step away from your usual day-to-day work and create time to focus on your well-being and self-care.
  • HELP@HAND BENEFITS:24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching.
  • FAMILY FRIENDLY POLICIES:We provide 26 weeks of full pay for the following family milestones: Maternity, Adoption, Surrogacy and Shared Parental Leave.
  • FLEXIBLE WORKING, BANK HOLIDAY SWAP & BIRTHDAY DAY OFF:You are entitled to an additional day off for your birthday, from your first day of employment.
  • GREAT LOCAL DISCOUNTS:This includes membership discounts with Soho Friends, local restaurants and retailers in Westfield White City and Television Centre.

Full details of our benefits will be shared when you join us!

Publicis Groupe operates a hybrid working pattern with full-time employees being office-based three days during the working week.

We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process.

Please make sure you check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups).

#LI-AB1

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.