At a Glance
- Tasks: Lead a team to enhance digital applications and automate solutions.
- Company: Dynamic West London business with a focus on innovation.
- Benefits: Up to £70,000 salary, 25 days holiday, and paid commuting.
- Other info: Hybrid role with opportunities for professional growth.
- Why this job: Join a forward-thinking team and drive impactful digital projects.
- Qualifications: Experience in Microsoft Power Platform and team management required.
The predicted salary is between 65000 - 70000 £ per year.
- Digital Product Manager
- Full time permanent role
- Hybrid (West London 3 days a week)
- Salary up to £70,000 plus 25 days holiday and London travel/commuting paid
A successful West London business is currently looking for an experienced Digital Product Manager to join its IT function.
This exciting new role will focus on digital application management and managing a team to deliver enhancements and future automation based on business needs.
Duties will include
- Managing internal team of Low Code Developer and Data Engineer
- Working with 3rd party vendors and internal team to deliver low-code applications and data warehousing across the Microsoft Power Platform
- Gathering user and business requirements
- Change management and chairing CAB
- Improving efficiency through automating solutions
- Oversee system enhancements and software upgrades
- Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory
- Drive development of Snowflake Data Warehouse
- Digital roadmap development
- IT projects
- To be considered suitable you will need the following skills/experience:
- Understanding of the Microsoft Power Platform
- Understanding of SDLC
- Team management
- Strong requirements gathering experience
- Budget management and reporting
- Vendor management
- BI and Analytics (Qlik Sense) reporting
- Exposure to automation/AI
We think you need these skills to ace Remote Digital IT Product Manager in Warrington
Communication Skills
Python
SQL
Problem-Solving Skills
Attention to Detail
Automation
Data Engineering
