Director, Data & AI Platforms

WM is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation gender identity national origin age disability status as a protected veteran or any other characteristic protected under applicable federal state or local law.

Waste Management (WM) a Fortune 250 company is the leading provider of comprehensive waste and environmental services in North America. We are strongly committed to a foundation of operating excellence professionalism and financial strength. WM serves nearly 25 million customers in residential commercial industrial and municipal markets throughout North America through a network of collection operations transfer stations landfills recycling facilities and wastebased energy production projects.

I. Job Summary
Waste Management (WM) is seeking an experienced and innovative Data & AI Platform and Architecture Director to lead and drive the strategic vision development deployment and support of our data and AI platform architecture. This role is pivotal in transforming data into actionable insights leveraging AI to enhance our operations and ensuring the scalability reliability and security of our data infrastructure. This role will manage a multifunctional team of architects and platform support services. Day to day focus on ensuing secure reliable and performant platform services. In addition the role will serve as the technical thought leader for Data & AI technologies sponsoring PoCs piloting and implementing new Data and AI technologies to serve business objectives and maturity our capabilities. If you like a fast paced dynamic outcomedriven environment where people are valued and work is meaningful this is it!

II. Essential Duties and Responsibilities
To perform this job successfully an individual must be able to perform each essential duty satisfactorily. Other minor duties may be assigned.

• Develop and implement a strategic roadmap for the data and AI platform environments aligning with WMs business objectives and industry technological advancements.
• Manage a team of principal architects that define the data architecture standards and design the reference architectures applied across solution development.
• Lead the design architecture and implementation of scalable robust and secure data platforms to support advanced analytics and AI initiatives.
• Oversee the management of a managed service that provides platform admin support across our technology ecosystem.
• Develop metrics to share the overall health and usage of our key platforms within Digital and our business partners
• Collaborate with crossfunctional teams to ensure the seamless integration of data sources tools and technologies.
• Advise and guide the development and deployment of machine learning models and AI solutions to optimize operations enhance customer experiences and drive innovation.
• Ensure the data platform complies with data governance privacy and security standards and regulations.
• Mentor and guide a team of data engineers data scientists and AI researchers fostering a culture of innovation and continuous improvement.
• Stay abreast of emerging trends and technologies in data management AI and machine learning to drive continuous innovation.

III. Supervisory Responsibilities
The highest level of supervisory skills required in this job is management through one or more managerial levels. This includes:

• Direct supervision of fulltime employees including senior management and individual contributor positions;
• Indirect supervision of fulltime employees including management and individual contributor positions.
  

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

A. Demonstrated Performance

• Leadership potential including ability to influence up down and across the organization
• Proven track record of consistently delivering results
• Strong written and verbal communication skills
• Demonstrated ability of hiring and developing talented individuals
  

B. Education and Experience

Education: Bachelors Degree (accredited) in Computer Science MIS Finance or similar area of study or in lieu of degree High School Diploma or GED (accredited) and four (4) years of relevant work experience

Experience: Eight (8) years of prior work experience (in addition to education requirement) within Information Technology including at least two years managing a team of two of more individuals

Preferred Education: Masters Degree (accredited) in Computer Science Data Science Engineering or related field.

Preferred Experience: Ten (10) years of experience in data architecture data engineering and AI platform development with at least 5 years in a leadership role.

C. Certificates Licenses Registrations or Other Requirements

Technical Skills

• Extensive experience in data architecture data engineering and analytics.
• Proficiency in understanding programming languages such as SQL Python R Java or Scala.
• Knowledge and understanding of AI and ML algorithms frameworks LLMs and tools
• Experience with data platform technologies such as Snowflake Azure Fabric and cloudbased data platforms (e.g. AWS Azure Google Cloud).
• Indepth understanding of database management systems data warehousing solutions and ETL processes.
• Familiarity with data visualization tools (e.g. Tableau Power BI) and business intelligence platforms.
• Expertise in data governance frameworks data privacy regulations and security best practices.

Soft Skills

• Leadership: Proven ability to lead and inspire a diverse team of professionals driving collaboration and achieving common goals.
• Collaboration: Ability to work effectively with crossfunctional teams fostering a collaborative and inclusive work environment.
• Communication: Excellent verbal and written communication skills with the ability to convey complex technical concepts to nontechnical stakeholders.
• Problemsolving: Strong analytical and problemsolving skills with a strategic mindset to overcome challenges and identify opportunities.
• Project Management: Strong organizational and project management skills with the ability to manage multiple initiatives simultaneously.
• Innovation: A forwardthinking approach constantly seeking new ways to leverage data and AI for business improvement.
• Adaptability: Flexibility to adapt to changing priorities and emerging technologies in a fastpaced environment.

D. Other Knowledge Skills or Abilities Required

• Experience in the most current technologies and products used in the industry. May require in depth skills in one or more of the following: technical software development and deployment employee management program and project management budget development and monitoring organizational change and development.
• Proven Track Record of Successfully implementing data and AI Solutions that drive business value.
  

V. Work Environment
Listed below are key points regarding environmental demands and work environment of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

Required to use motor coordination with finger dexterity (such as keyboarding machine operation etc.) most of the work day;
Required to exert physical effort in handling objects less than 30 pounds part of the work day;
Required to be exposed to physical occupational risks (such as cuts burns exposure to toxic chemicals etc.) rarely;
Required to be exposed to physical environment which involves dirt odors noise weather extremes or similar elements rarely;
Normal setting for this job is an office setting.

Benefits
At WM each eligible employee receives a competitive total compensation package including Medical Dental Vision Life Insurance and Short Term Disability. As well as a Stock Purchase Plan Company match on 401K and more! Our employees also receive Paid Vacation Holidays and Personal Days. Please note that benefits may vary by site.

If this sounds like the opportunity that you have been looking for please click Apply.