Managing Director, Data and AI

About the Role

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 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. This position reports directly to the SVP of Information Technology and Services.

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, 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 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 and apply relevant insights to the company's strategy.
• Ensure compliance with data privacy and security laws and standards.

Data Strategy and Management Duties

• Develop and execute a comprehensive short- and long-term data strategy aligned with the organization's goals.
• Collaborate in the design and implementation of the organizational data infrastructure, particularly the data warehouse and data lake.
• Proactively work with divisions to determine available data sources and priorities for ingesting into the data lake.
• Create organizational-wide ontologies and data cataloging strategies.
• Oversee data collection, storage, management, and analysis to ensure data quality and integrity.
• Implement data governance frameworks and best practices to maintain data security and compliance.
• Collaborate with cross-functional teams to identify data needs and provide insights for business growth.
• Develop strong collaborative 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.
• Monitor and optimize AI models and algorithms for 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.
• 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.
• Present findings, insights, and recommendations to senior management and stakeholders.

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 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.
• Ability to develop and execute a data strategy aligned 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 Python, R, Perl, and SQL.
• Experience with data lake and data warehouse tools (AWS, Snowflake, MuleSoft, Delta Lake/Databricks, etc.).
• Experience with AI frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Demonstrated experience with data cataloging and improving data quality.
• Advanced proficiency with Microsoft Office Suite, particularly Office 365.
• Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously.

Benefits

• Industry competitive base pay, determined by relevant experience, education, certifications, location, and internal pay equity.
• Culture of recognition, including service anniversary awards, referral bonuses, and appreciation awards.
• Generous Paid Time Off, including holidays, vacation days, personal days, and sick days.
• Comprehensive benefits package, including medical, dental, vision, FSA, disability & life insurance, pet insurance, and retirement savings.
• Full diabetes supply coverage through our medical benefits program.
• Focus on mental health programs and work/life balance, with most employees working remotely.

About the Organization

The American Diabetes Association ® (ADA) is the nation’s leading voluntary health organization fighting to end diabetes and helping people living with diabetes thrive. Since 1940, we have driven discovery and research to prevent, manage, treat, and ultimately cure diabetes. We advocate for policy changes and improved access to quality care for all people living with diabetes and/or obesity. Through the Obesity Association, a division of the ADA, we are also working to reduce the prevalence of obesity—a leading risk factor for type 2 diabetes.

Location: Remote - United States
Base Pay: $126,500.0 - $160,000.0 / Year
Job Category: Data science, AI
Employee Type: Full Time Exempt
Required Degree: 4 Year Degree
Manage Others: Yes
Minimum Experience: 7 Years