Waste Management
Logistics
Data&AIManager
“Data & AI Manager at Waste Management. Skills: Data platforms, AI application. Lead Data & AI team. Grow Data & AI team”
What You'll Achieve.
Deliver real impact; Drive real-world outcomes; Enable high-value analytics; Enable AI outcomes; Enable digital outcomes; Turn data into impact; Turn AI into impact; Deliver results; Deliver value
Industry & Context.
Solve business problems; Turn data into outcomes
What They're Looking For.
Must Have
Proven experience leading data teams, Proven experience developing data teams, Track record of delivering outcomes, Hands-on expertise modern data platforms, Practical experience applying AI, Practical experience applying advanced analytics, Ability to influence stakeholders, Ability to collaborate stakeholders, Pragmatic delivery-focused mindset, Comfort working evolving environments, Comfort working lower-maturity environments, Self-starter approach
Nice to Have
Hands-on expertise Snowflake, Hands-on expertise Azure, Hands-on expertise AWS, Hands-on expertise dbt, Hands-on expertise Power BI, Experience building capability
What You'll Do.
Partner with stakeholders
Shape data & AI strategy
Deliver data & AI strategy
Evolve data platforms
Improve decision-making
How You'll Work.
Team & Collaboration
Partner across business; Collaborate across business; Influence stakeholders; Collaborate stakeholders
Process & Methodology
Prioritise work, Deliver work
Applying for this Data & AI Manager role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Waste Management?
Real rants from real employees. Read before you apply.