Position: Data Project Manager
Company: Intellias
Experience required: 5y
English level: fluent

You will provide a key function in shaping the success of client’s current and future products and help deliver exciting new features whilst maintaining client’s world class quality.

Key Qualifications
Must have experience with project status reporting to multiple stakeholders.
Demonstratable expertise on delivering data intensive projects in time and budget.
Proficient in understanding and translating business analytics requirements to engineering specifications.
Prior project delivery experience in a combined team of diverse data professionals (a combination of data analysts, data engineers and data scientists) highly sought after.
Prior experience with Project risks and issues log maintenance and communication, with appropriate escalation as required.
Expertise in Agile project management methodologies including Scrum and Kanban
Excellent analytical skills, critical thinking, and interpersonal skills
Excellent written and oral communication skills on both technical and non-technical topics
Enthusiasm for new technologies and growth
Proven ability to learn quickly
Ability to manage individual project priorities, deadlines and deliverables
Responsible for the successful and timely implementation of all engineering relevant tasks associated with several data project.
Strong teamwork in a diverse team, leadership, and time management skills; passion for leading, mentoring and developing team members
Manage the delivery of solutions via internal or external resources or a mixture of both
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Requirements:
Description
The Data Engineering Team leads data architecture, pipelines development, dashboards development and all data Exchange Transform Load (ETL) activities supporting all manner of data science workloads including adhoc analysis, visualizations, machine learning and artificial intelligence. As we are the creators and custodians of data platform, teams across client utilize capabilities we created for them to drive business decisions across the organization such as optimal infrastructure provisioning, cost and usage analysis, and quick and effective allocation of resources. Our efforts assist key decision makers to see their infrastructure through a single pane of glass.

 

We're a team of thinkers, love gadgets, highly sociable, strong time managers for work (and home!), and always strive to be better people than we were the year before. People think that we're eccentric because we want to get things done quickly but the reality is - inside each of us is that we all want to make the world a better place.

If you identify with this then please apply.


Education & Experience
Bachelor's degree in Business, Mathematics/Statistics, Engineering or Physical Sciences or equivalent experience.
Graduate degree in an analytical field is highly desired.