Head of Data Services

Company context

Role overview

What you do

• Set vision, roadmap and shared standards across data-services disciplines.
• Embed AI across the practice and build processes, tools and skills to improve delivery speed, rigor and differentiation.
• Own revenue growth, expand existing accounts, contribute to pitches and build the data-services pipeline.
• Set technical expectations across tagging and analytics, MMM, BI and Google Marketing Platform.
• Manage practice leads and senior practitioners; coach them and build development pathways and succession depth.
• Represent the function in senior client presentations, pitches and industry thought leadership.

Who you are

• Track record leading marketing data teams across multiple disciplines, potentially spanning tagging and analytics, MMM and BI.
• Technical depth in analytics, data science and measurement to lead expert practitioners and make sound technical decisions.
• Practical vision for AI-enabled service delivery and the leadership conviction to implement change.
• Experience owning revenue targets, growing a book of business and translating technical capability into client investment.
• Ability to develop leaders and teams and present complex data capability clearly to C-suite clients and internal leaders.

Success measures

• Grow data-services revenue year over year through new wins and existing-client expansion.
• Show measurable AI adoption and improvements in efficiency and output quality.
• Maintain strong client satisfaction and quality across data-services disciplines.
• Develop team leaders and demonstrate increased team capability and succession depth.
• Build market recognition through wins, thought leadership and industry reputation.

Office expectations

• Brainlabs describes an office-centric culture and expects most roles to be within commuting distance, with around three office days per week.

Interview process

• The interview process includes skills interviews with the team.