Senior Manager, Business Solutions

As an EEO/Affirmative Action Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or veteran status.

I. Job Summary
Recognized across the organization for business and data expertise regarding landfill operations and air quality programs and policies.  Sought as a resource for resolution of unique or complex business problems and the development of solutions for new business opportunities. Provides the highest level of data expertise while conducting highly complex analyses, needs assessments, and preliminary cost/benefit analyses to align solutions with the company strategy and initiatives. This position requires the ability to manipulate, visualize, and think critically about data, and communicate findings to drive change and influence others across the company to adopt newly re-engineered processes. Your role will involve interdisciplinary collaboration both within WM and with external partners to drive research and strategy around the measurement, modeling, and reduction of landfill emissions.  

II. Essential Duties and Responsibilities
 

• Wrangle data and conduct exploratory data analysis using SQL and Python to identify gaps and limitations and derive insight. 
• Create data visualizations that deliver insights to decision-makers at an array of levels.
• Design, prototype, test, and implement descriptive and predictive analytics, and machine learning models. 
• Support the development and implementation of emissions measurement and estimation standards relating to the protection, control, and management of air quality. 
• Influence across disciplines and teams to ensure we are making data-driven decisions and solving critical problems in support of WM’s corporate goals. 
• Oversees the implementation, and analysis of multiple enterprise solutions projects with a large scope and complexity to drive reductions in landfill emissions.
• Works with internal and external collaborators, vendors, and other partners to resolve problems, respond to suggestions for improvement and enhancements, test, refine and institutionalize solutions. 
• Contribute to publications in scientific journals to advance research and policy.
• Stay current with advances in landfill emissions measurement technology and regulations. 

III. Qualifications
The requirements listed below are representative of the qualifications necessary to perform the job.

A. Education and Experience
 

• Education: Bachelor's Degree (accredited) or in lieu of degree; High School Diploma or GED (accredited) and four years of relevant work experience required. Master’s degree in a quantitative field preferred (e.g. e.g., statistics, analytics, data science, engineering, Computer Science, Meteorology, Physics, Mathematics, Economics, Operations Research). 
• Experience: 7 years of relevant work experience (in addition to education requirement) required.

B. Certificates, Licenses, Registrations or Other Requirements

 

• None required.

C. Other Knowledge, Skills or Abilities That Contribute to Success
 

• Must be able to travel.
• Expertise wrangling data using SQL and Python.
• Expertise visualizing data with Python.
• Experience with cloud services like Snowflake and AWS. Ability to learn and utilize other job-related technical software.
• Experience with statistical and machine learning models.
• Experience using git for version control and collaboration.
• Decision Making - Identifying and understanding issues, problems, and opportunities; comparing data from different sources to draw conclusions; using effective approaches for choosing a course of action or developing appropriate solutions; taking action that is consistent with available facts, constraints, and probable consequences.
• Facilitating Change - Encouraging others to seek opportunities for different and innovative approaches to addressing problems and opportunities; facilitating the implementation and acceptance of change within the workplace.
• High-Impact Communication - Clearly and succinctly conveying information and ideas to individua