[Online] How Data Teams Can Move Beyond Reactive Work

​Continuing our DPM webinar series aimed at upskilling and knowledge-sharing, we're joined by Lior Barak, author of What Data Really Costs.

​Your data team starts the week with a plan. Meetings, incidents, and last-minute requests soon compete with the work it committed to deliver. Recognising the pattern is one thing; deciding what to change is harder.

​As expectations for data teams grow, how they spend their time shapes what they can contribute. Lior Barak joins Nick Zervoudis to explore how teams can use a simple time audit and more useful retrospectives to reduce reactive work.

​Through practical examples, we'll look at the small interruptions that accumulate, the meetings and incidents people join by habit, and how leaders can turn those observations into changes to the way their team works.

​What we'll unpack

• ​What does the gap between planned and actual work tell you?

• ​How much time do small, unplanned requests really take?

• ​Which questions help a retrospective lead to a concrete change?

• ​How can teams decide who needs to join a meeting or incident?

​What you'll walk away with

• ​A simple way to examine where your team's time is going.

• ​Three questions to bring into your next retrospective.

• ​Examples to help choose one change to meetings, interruptions, or planning.

​For data leaders, data and AI product managers, and practitioners who want more deliberate progress from their team's work.

​There will be time for questions and practical discussion.

​About our speaker

​Lior Barak is an author and data leader who has built data functions at Zalando and idealo. His work focuses on the business impact and cost of data, including the time teams spend maintaining products, handling requests, and working around problems. He is the author of What Data Really Costs.

​How to join

​This livestream will be held online inside our digital community space.

​Make sure you've joined us on Circle - signing up is free.

​About the Data & AI Product community

​Data and AI product management is still a young discipline, and there aren't many spaces dedicated to learning from peers.

​So we started this meetup in 2023 to change that! Since then, it's grown into a vibrant community with chapters in London, Barcelona, and Paris.

​Whether or not "product" is in your job title, if you're involved in shaping data, analytics, and AI initiatives (e.g. product managers, strategists, BAs, data scientists, engineers, analysts) you'll find like-minded people here.

​This is an informal, welcoming space to swap lessons, share challenges, and enjoy drinks and snacks along the way 😊

​You can meet us in person at our in-person meetups, but also join our global community where we have expert webinars, training courses, job postings, resources, and discussions.

​Quick FAQ

• ​Will this event be recorded? Yes, we will upload the recording here, along with previous DPM Community webinars

• ​If I sign up to this event, will I be opting into any marketing emails? No. We only use the Luma mailing list to invite you to upcoming community events and share community updates (like our end of year membership survey). You can always opt out of the Luma calendar.

• ​Can I mention this to a friend or colleague? Yes, of course! If they're based in London, send them this event. If they're not, it might be better to send them the Circle livestream link directly, so they don't get invited to all our in-person meetups too.

• ​Why are you doing this? Data & AI Product Management is a nascent field, and we created this community to bring together practitioners and help share our skills and experiences with those newer to DPM.