Senior Manager Marketing Data & Insights Strategy

London
9 months ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Manager (18-month FTC)

Artificial Intelligence Manager (18-month FTC)

Artificial Intelligence Manager (18-month FTC)

Artificial Intelligence Manager (18-month FTC)

Artificial Intelligence Manager (18-month FTC)

frog - Senior Consultant - Data Science (Customer Data)

Senior Manager Marketing Data & Insights Strategy
£350pd (to Umbrella inclusive of Holiday etc)
12 Month + contract
Central London Hybrid typically 3 days a week on site

Well known media and entertainment company based in central London is looking for a Senior Manager Data & Insights Strategy within the Digital marketing department. This is working in a small marketing data team providing internal consulting to solve problems using data and maximising marketing success using data insights going forward. The role is both hands on with designing and building new Tableau Dashboards and consultative, understanding the requirements, doing presentations, looking forward at data strategy and more data enablement and marketing data improvement. We are looking for someone who has media agency experience gained in a marketing data centric role. i.e. Marketing data roles such as Data Manager/Data Director or Insights Manager/ Insights Director type role (or Senior Marketing Data Analyst who also has great presentation, communication and marketing data insights project experience. You will need strong Tableau experience for Designing and building new Dashboards, 6+ years of data management, analytics and reporting experience. This should include good marketing Data Management Platform experience (DMP's) and marketing data set experience, DSP knowledge and Paid Media, Organic etc

The UK Marketing Department constantly strives to create and maintain a best in
class marketing function with an emphasis on lifetime value of content. All leadership roles within the team are tasked with driving improved cross-divisional understanding, collaboration and expertise and in delivering an integrated approach to marketing content across windows.

Description
The Data & Insights Strategy Senior Manager is responsible for translating business requirements into data led projects that drive measurable outcomes. They are uniquely positioned in the business to identify areas that have shared ambitions and utilise the right data, people, processes and technology to maximise the value and actionability of project deliverables. They are a key ambassador for the use of data and engage with all levels of the organisation to gain their support by making the benefits clear to business leaders and
their teams. You will lead the Marketing business in progressing from a
siloed approach to full democratisation of data and insight via our self-service reporting tool. This in turn will augment decision making, empowering teams to drive initiatives supported by holistic insights derived from a range of sources. They will provide clarity on the metrics that matter and will help teams to focus on the relevant questions that will have the greatest
impact. They will be responsible for levelling-up the data fluency of teams to enable them to become self supportive and reduce reliance on 3rd parties for insights.
They will focus on forward thinking projects, continuously innovating and ensuring the company remains at the forefront of the ever changing digital and data landscape. They will future proof our data capabilities and embed data governance, privacy and transparency with the
support of our Legal teams.
They are a primary point of contact on strategic and transformational projects, responsible for briefing relevant central data teams (Data Insights, Data engineering and Data Science) and following the project through to completion and adoption by stakeholders. They will prioritise opportunities, balancing business benefits and value potential with technical
constraints and resource availability.

Responsibilities

  • Ownership of our internal reporting solution which leverages Datorma, Snowflake
    and Tableau to connect our key data sources into a single database and bespoke
    visualisations designed for internal and external stakeholders
  • Expand on our existing data sources to include all relevant touchpoints for the
    marketing team throughout the campaign/product lifecycle including brand
    awareness tracking, brand lift study results from key partners, new paid digital
    platforms, organic social performance and trailer impact forecasting
  • Work with our Media and Organic Social agencies (PHD, Grapevine) to optimise the way they use data to augment decision making and deliver insights to the marketing team
  • Conduct correlation and regression analysis to identify the metrics that matter across our data sources and business areas and work with key business partners to
    implement measurement frameworks to measure performance against KPIs
  • Be the point of contact for the Marketing team to scope data projects and liase with the Data Insights, Data Science and Data Engineering teams to ensure requirements are being captured and the project deliverable meet the business needs
  • Own the 1st Party data strategy across CRM, Web Analytics and
    Organic Social
  • Work with business stakeholders to set 1st Party Data retention, engagement and enrichment objectives and lead regular touch points to analyse performance against these objectives
  • Work with our Media Agency to fully integrate our 1 st party data into our paid digital campaigns including audience targeting, lookalike modelling and exclusions to maximise efficiencies and performance
  • Conduct training programmes to up skill team members on utilising our self serve
    reporting tools to reduce the reliance on external teams and the delay in actioning insights
  • Work with Legal teams to ensure we are following the latest guidelines when
    capturing and activating our 1st party data
  • Work with data engineering to embed data governance procedures to retain the
    integrity of the data we are using for insight generation

    Qualifications & experience
  • 6+ years of data management, analytics and reporting (Demonstrable expertise of working with Tableau essential)
  • Significant experience in a similar role - leveraging data to inform broader marketing and media activities
  • Media agency experience gained in a marketing data centric role or similar
  • Superior knowledge & strategic application of marketing capabilities such as
    DMPs, DSPs, and other campaign tools
  • Skillset in strategic thinking
  • Excellent communication skills
  • Experience in gathering and interpreting business data and surfacing insights
  • Outstanding collaboration internally and externally with agencies and strategic
    partners.
  • Working knowledge of Snowflake, Datorama & APIs preferable
  • SQL coding knowledge beneficial Job Title: Senior Manager - Data & Insights Strategy
  • Able to conduct correlation and regression analysis to identify the metrics that matter across
    the data sources and business areas and work with key business partners to
    implement measurement frameworks to measure performance against KPIs

    Everybody is welcome
    Diversity and Inclusion Statement. | PCR Digital

    "At PCR Digital, we are committed to ensuring that diversity, equity and inclusion play a role at all stages of our recruitment - it is important to us that our own company culture and the culture of our network is as varied and supportive as possible. We love people (it's why we do what we do), so, regardless of background, we welcome you to work with us or apply to any of our jobs if you feel that they are right for you."

    We also aim to ensure that our entire process is accessible. Please make us aware of any adjustments you may need throughout the selection, interview and general process and we will do all we can to ensure that any barriers are removed for you

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.