The American Diabetes Association (ADA) is seeking a Managing Director of 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. Reporting to the Vice President, Information Technology and Services, the Managing Director will lead and manage data and AI initiatives, support the development of our internal data infrastructure and drive the adoption of artificial intelligence technologies to enhance decision-making and operational efficiency. This role requires a strategic thinker with a deep understanding of data science, data management, analytics, machine learning, and artificial intelligence (AI), as well as strong leadership and management skills. The ideal candidate is a self-starter with an entrepreneurial mindset and the drive to get things done with minimal supervision combined with the humility to recognize that the most technically correct solution may not be the most appropriate solution to address a particular challenge. This Managing Director of Data and AI will ideally be based in the DMV region, but we are open to other regions for the right candidate.

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.
• 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.)
• Proven ability to lead and manage a team, with strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Ability to develop and execute a data strategy that aligns with business objectives.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• 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.
• Advanced proficiency with Microsoft Office Suite more specifically, Office 365.
• 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.

RESPONSIBILITIES

• 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 hybrid infrastructure
• Act as an internal consultant to bridge the gap between the technical and business sides
• Oversee data governance and quality: Ensure data accuracy, consistency, and security across the organization.
• 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.
• Manage data infrastructure: 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.

DATA STRATEGY AND MANAGEMENT DUTIES

• Develop and execute a comprehensive short- and long-term data strategy aligned with the organization’s goals and objectives.
• Collaborate in the design and implementation of the organizational data infrastructure, in particular the data warehouse and data lake.
• Proactively work with various divisions to determine available data sources, priorities for ingesting into the data lake.
• Come up with organizational wide ontologies and data cataloging strategies.
• Oversee the collection, storage, management, and analysis of data to ensure data quality and integrity.
• Implement data governance frameworks and best practices to maintain data security and compliance with relevant regulations.
• Collaborate with cross-functional teams to identify data needs and provide insights for business growth.
• Develop strong collaborative work relationships with divisions to identify opportunities for data management tools.

AI IMPLEMENTATION AND OPTIMIZATION DUTIES

• 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.

TEAM LEADERSHIP AND COLLABORATION DUTIES

• 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.