Director, Data & AI Platforms

Waste Management • Houston, TX

309d

About The Position

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 multi-functional 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, outcome-driven environment where people are valued and work is meaningful, this is it!

Requirements

• Bachelor's 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.
• 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 or more individuals.
• 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 cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
• In-depth 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.

Nice To Haves

• Master's Degree (accredited) in Computer Science, Data Science, Engineering or related field.
• Ten (10) years of experience in data architecture, data engineering, and AI platform development, with at least 5 years in a leadership role.

Responsibilities

• Develop and implement a strategic roadmap for the data and AI platform environments, aligning with WM's 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 cross-functional 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.

Benefits

• Medical, Dental, Vision, Life Insurance and Short Term Disability.
• Stock Purchase Plan.
• Company match on 401K.
• Paid Vacation, Holidays, and Personal Days.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Industry: Waste Management and Remediation Services
• Education Level: Bachelor's degree