Analytics Engineering Manager, Docplanner

• Proven experience as a leader in the development of multi-purpose environments or related fields
• Experience in team building and leadership, with excellent mentorship and coaching skills
• Strong technological background related to data warehousing and data tracking
• Proven Product management experience in Data scope
• Strong project management skills and experience managing projects end-to-end, ensuring timely delivery and alignment with business goals
• Excellent communication and interpersonal skills
• Growth mindset: nobody ticks all those boxes above, but a willingness to learn is strongly valued here
• Deep understanding of BI and data modeling approaches, newer market trends and best practices (Data Vault, Kimball, Data Mesh, etc)
• Strong skills in Python and SQL, following good coding practices
• Hands-on experience with orchestrators like Airflow or Dagster
• Track record with large scale rollout initiatives of dbt
• Ability to work collaboratively and adopt code versioning best practices (git)

Desirable

• We seek a strategic leader to join our company as the Engineering Manager for the Analytics Engineering Team, a group dedicated to data modelling, DWH engineering and web tracking
• The team's mission is to provide both platform-as-a-product solutions for internal customers, but also to serve as an enabler and consultant for their autonomous work
• On the side of data modelling, the team is accountable for the DWH as an internal customer-facing product as a whole, including overhauling the data model with the newest approach of Data Vault with dbt, designing & building data domains, managing Redshift cluster and more
• The web tracking accountability is to ensure accurate, reliable and consistent collection of data across our diverse platforms and products
• The Team owns tracking strategies including tooling and implementation across our products
• Your role will be essential also in the context of Data Governance initiatives: you will focus on designing and enforcing both data modelling and tracking governance, ensuring data integrity to support our decision making processes
• Lead a team of 5+ multi-disciplinary engineers and specialists and be responsible for their growth and happiness
• Facilitate the technical decision in the proper direction that meets the requirements
• Work closely with the technical leader of the team to develop an accurate technological strategy
• Facilitate communication within the team and across different departments to ensure alignment on project goals and objectives
• Build the team’s mission collaboratively and ensure that all decisions align with and aim to achieve this mission
• Internal Product management
• Understand and focus on your customer's needs
• Foster Platform as a Product approach
• Own process from discovery to delivery
• Facilitate OKR process
• Enhance and facilitate communication between the team and its surroundings
• Set and clearly communicate the team roadmap to achieve the mission and goals
• Develop project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility
• Act as a hands-on project manager and people leader throughout the process
• Ensure that all projects are delivered on time within scope and budget
• Build strong relationships with stakeholders, tech leaders, product, analytics, operations, legal and security teams
• Provide guidance, mentorship, and coaching inside the team
• Provide regular feedback to team members and help them set and achieve personal career goals
• Regularly assess the performance of team members