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Berufe im Profil international: Product Owner Data Driven Marketing (65016)

Speaker’s name: Akshay Tagadur Nagendra

 

Company: ING AG

 

Position: Product Owner Marketing Analytics & Orchestration

 

Degree programme: Masters Computer Science

 

Describe yourself and your career:

- Professionally, a data enthusiast at heart dedicated to mastering all aspects of data and leveraging deep analytics to power high-impact, data-driven decisions and strategic initiatives

- Personally, someone who thrives on a perfect balance of peaceful downtime and active exploration

 

What defines my job:

Mandatory requirements are: Innovative thinking, staying curious, strong stakeholder management skills with a proven execution mindset

 

Necessary soft skills: Tech & architecture knowledge, domain knowledge, analytical mindset, Project Management skills and staying curious

 

What I like most: Interaction with the colleagues and working together towards one goal

 

Most exciting challenge so far: Leading the implementation of marketing analytics & orchestration foundation from scratch and leveraging on it to go-live with our Business Banking Member Get Member Program witihin ING Germany

 

Don‘t get discouraged by: Politics

 

My job is especially suitable for people studying: Computer Science, Data Analytics, AI, Marketing

 

Describe your current job briefly:

- Leading a squad (Product Owner) consisting of Tracking, Analytics, Marketing Orchestration and Reporting experts

- Leading implementation of an analytics foundation to unlock the full potential of data-driven marketing and E2E customer journey analytics in the domain of Business Banking

- Conceptualisation, design and implementation of data driven marketing campaigns / projects such as Member Get Member, Fresh Money, Cash Incentivization

- Driving client / product performance through data and insights – e.g. forecasting potential impact from campaigns before going live and measuring the after campaign results against it

- Setting up cross teams and domain data collaboration

 

 

Further information: To participate in the webinar, registration in Stud.IP is required. The access link will be announced in the course shortly before the event.

 

In cooperation with the FIM International Coordinator.

2027-01-20, 18:00 - 20:00
online

Additional Information

Open to not open to the public
Prior registration requested
Organised by Future: Careers and Competencies (ZKK), FIM International Coordinator
Contact organizer of event zkk@uni-passau.de

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