[Hiring] Managing Director, Data and AI @American Diabetes Association

Role Description

The American Diabetes Association (ADA) is seeking a Managing Director, Data and AI to oversee the development and execution of the organization's data strategy, ensuring the effective use of data and AI technologies to support business objectives. This position reports directly to the SVP of Information Technology and Services.

• Work collaboratively with division heads to develop and implement the company's data strategy.
• Establish a vision for data and AI initiatives, aligning them with business goals and objectives.
• Assist in the implementation of a data lake and data warehouse, one lake, data pipelines, ETL and ELT.
• Act as an internal consultant to bridge the gap between the technical and business sides.
• Oversee data governance, data quality, data integration, data analytics and enterprise data applications support.
• Drive innovation: Identify and explore new opportunities for leveraging data and AI to create competitive advantages and improve business outcomes.
• Collaborate with cross-functional teams: Work closely with other departments to integrate data and AI solutions into various business processes.
• Oversee the development and maintenance of data systems and platforms to support analytics and AI initiatives.
• Monitor industry trends: Stay informed about the latest advancements in data science and AI and apply relevant insights to the company's strategy.
• Ensure compliance with regulations: Adhere to data privacy and security laws and standards, ensuring the responsible use of data.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Artificial Intelligence, or a related field.
• At least 7 years of experience in data science, machine learning, or AI, with a minimum of 5 years in a leadership role.
• Technical skills: Proficiency in data analysis, data management, machine learning algorithms, AI frameworks, big data concepts and tools, and data visualization tools (Tableau, Power BI, AWS Quicksight, etc.).
• Leadership skills: Proven ability to lead and manage a team, with strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Strategic thinking: Ability to develop and execute a data strategy that aligns with business objectives.
• Problem-solving: Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Industry knowledge: Familiarity with industry trends and best practices in data science and AI.
• Strong understanding of data modeling, warehousing, and processing.
• In-depth experience with integrating data from different sources.
• Strong knowledge of data governance, data quality, and data security practices.
• Proficiency in programming and data querying languages such as Python, R, Perl and SQL.
• Experience with data lake and data warehouse tools and concepts (e.g. AWS, Snowflake, MuleSoft, Delta Lake/Databricks, AI/ML data star schemas, denormalization strategies, etc.).
• Experience with AI and machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Demonstrated experience with data cataloging and dealing with and improving data quality.
• Understanding of the Salesforce ecosystem (Nonprofit Cloud, Data 360, MuleSoft, DevOps, and Salesforce CI/CD tools).
• Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously and a proven track record of leading data and AI projects from inception to completion.

Requirements

• Lead the development and deployment of AI-driven solutions to enhance business processes and constituent experiences.
• Evaluate and select AI technologies and tools that align with the organization's needs and capabilities.
• Monitor and optimize AI models and algorithms to ensure their accuracy, efficiency, and scalability.
• Stay updated with the latest advancements in AI and data science to drive continuous innovation.
• Establish, manage and mentor a team of data scientists, analysts, and AI specialists to achieve project goals and objectives.
• Foster a collaborative and innovative team culture, encouraging knowledge sharing and professional growth.
• Coordinate with other departments to promote data-driven decision-making and integrate AI solutions across the organization.
• Present findings, insights, and recommendations to senior management and stakeholders.

Benefits

• Industry competitive base pay.
• A culture of recognition including new hire welcome announcements, service anniversary awards, referral bonuses, monthly All Employee Assembly, appreciation awards.
• Generous Paid Time Off, including holidays, vacation days, personal days and sick days.
• Comprehensive benefits package including medical, dental, vision, Flexible Spending Accounts (FSA), disability & life insurance, pet insurance, and retirement savings.
• Guided by our mission, we provide full diabetes supply coverage through our medical benefits program.
• A company focus on offering mental health programs and work/life balance with most of our employees working remote.
• Joining our dedicated team affords the gratification of knowing beyond a doubt that you will impact the lives and well-being of millions.