About the Role
This role exists to keep Leap, our agency operating platform, accurate, current and
trustworthy as AIP's governed knowledge spine. The immediate priority is clearing
the existing backlog of data discrepancies across the platform: campaign IDs,
ownership records, media plans, the publisher library, product codes, financial data
and other structured fields that have fallen out of date. Beyond the backlog, teams
will do more of their own day to day data entry, with this role setting the standards,
auditing the output, automating what can be automated, and working with people to
get information right rather than entering everything itself. Good digital media
understanding is what makes the fixes correct rather than just tidy: this person needs
to recognise what a record should look like for a given channel or setup, not just that
a field is populated. The role works closely with the Operations Director and with
media, finance and client partnership teams across every sector.
Key Responsibilities
➔ Work through the current backlog of data discrepancies across Leap,
correcting records with the media knowledge to judge whether an entry is
actually right, not just present.
➔ Once the backlog is under control, shift focus to auditing and maintaining data
quality as teams take on more of their own ongoing data entry.
➔ Identify data entry tasks that are repetitive and low judgement, and automate
them rather than handling them manually.
➔ For data only other teams can properly complete, work directly with those
people to get accurate information into the platform.
➔ Own the accuracy of finance-related data entered into the platform, checking it
against source information before it's confirmed.
➔ Keep reference data like the publisher library current as publishers, formats
and codes change.
➔ Audit Leap regularly for gaps, duplicates or inconsistent records, and correct
them at the source where possible.
➔ Build and maintain clear data entry conventions, informed by how campaigns
are actually structured and tagged, so teams entering their own data can do it
consistently.
➔ Chase down missing or incorrect information from the teams who hold it.
➔ Identify where upstream process, not just entry error, is causing recurring
hygiene problems, and push for fixes there rather than repeatedly patching the
same issue.
➔ Provide operational support beyond Leap where capacity allows.
IPAR+E in this Role
IPAR+E is the operating standards, the common language for how we work at AIP. It
holds across every role and holds whatever changes around it, a shared standard that
connects how we add value as an organisation all the way down to every role. Every
role carries responsibility for applying it.
➔ Intelligence: Works directly with the structured data inside Leap, campaign
IDs, ownership fields, media plans, the publisher library, financial entries, and
draws on digital media experience to know what each record should actually
represent for a real, live campaign, and who holds the true answer when it
doesn't.
➔ Prediction: Spots where hygiene issues are likely to recur, and where a manual
task is repetitive enough to be worth automating rather than repeating.
➔ Action: Clears the current backlog, automates the repeatable parts of the job,
and turns identified gaps and errors into corrected records, updated
conventions and clear guidance.
➔ Review: Regularly audits the state of the platform and reports on data quality,
closing the loop with the teams responsible for the source information.
➔ Client Engagement: Treats internal teams as the client here. Accurate,
well-maintained data means planners, finance and client partnership teams can
trust what they pull from Leap without double-checking it.
AI Expectations
AI is core to how this role works, not an add-on to it. With the volume and variety of
structured data this role manages, using AI tools well is what makes the hygiene
standard achievable at scale, and is central to automating the parts of the job that
don't need human judgement.
➔ Use AI tools to work through the backlog faster, spotting anomalies, duplicates
or inconsistent patterns across large sets of campaign, media plan and finance
records.
➔ Build or configure automations for repetitive, low judgement data entry tasks,
freeing time for the corrections that genuinely need media expertise.
➔ Use AI to draft and refine data entry conventions and guidance documents for
teams taking on their own data entry.
➔ Use AI to summarise audit findings clearly for stakeholders, rather than
presenting raw data.
➔ Use AI to help chase, follow up and coordinate with the right people for
outstanding information, keeping tone and detail consistent.
About You
➔ Strong digital advertising and media experience, with real working knowledge
of how campaigns are structured, tagged, booked and reported on across
channels.
➔ Systems administrator experience or similar is highly sought after: comfort
configuring, maintaining and automating within a platform, not just using one.
➔ Systems thinking: able to see how one incorrect record ripples into reporting,
finance or client-facing outputs, and to know who actually owns the source
truth for a given field.
➔ Excellent attention to detail, with the discipline to check rather than assume.
➔ Comfortable working with numbers and financial data, even without a formal
finance background.
➔ Confident working with a wide range of stakeholders, from media planners to
finance to senior leadership, able to work collaboratively to extract accurate
information.
➔ Organised and self-directed, able to work through a substantial backlog
methodically while also building the conventions and automations that prevent
it recurring.
Success Looks Like
➔ The backlog of data discrepancies in Leap is cleared, with campaign IDs, the
publisher library and other structured data accurate and current.
➔ Repetitive, low judgement data entry is automated rather than done by hand.
➔ Teams are entering their own data confidently and consistently, using
conventions this role has built and maintained.
➔ Fixes hold because they're made with genuine media understanding, not just
administratively applied.
➔ Data quality issues are caught quickly, and recurring ones are traced back to
their source and resolved there.
Possiblist Behaviours
These describe how we do the work, the attitude and approach we expect from
everyone, whatever their job.
➔ Be bold and unapologetic. We never win by pretending to be something we're
not.
➔ Be the one who makes it happen. And own it. We'll back you up.
➔ Have a point of view, and say it like you mean it. Remember YOU are the expert.
So get your point across directly.
➔ Be always open. Closing yourself off is the opposite of Possiblism.
➔ Win by working together. Our superpower is each other.
➔ Grow in all directions. 1% better every day, in every way, for our clients, for the
agency, for yourself.
