OMNIA Partners · 3 months ago
Head of Data, Analytics and AI
OMNIA Partners LLC, 5001 Aspen Grove Drive, Franklin, Tennessee, United States of America
Full-time
Onsite
Director/Executive
15+ years expOMNIA Partners is the largest and most experienced purchasing organization for public and private sector markets. They are seeking a visionary Head of Data Analytics and AI to drive strategy, governance, and product innovation, delivering enterprise-wide impact through data and AI.
CommercialConsultingFinancial ServicesManagement ConsultingProfessional Services
Responsibilities
Drive strategy, governance and product innovation, delivering enterprise-wide impact through data and AI
Develop, execute and own the Data and AI strategy to accelerate business growth and transformation
Define and champion enterprise-wide data governance strategy aligned with business goals, regulatory requirements, and ethical AI principles
Establish data ownership and stewardship frameworks, ensuring accountability across business units and functions
Develop and execute a modern data architecture vision (e.g., data mesh, lakehouse) that supports scalable analytics and AI/ML workloads
Partner with business and technology leaders to prioritize data platform investments and enable self-service analytics
Champion data-driven decision making and GenAI/AI/ML integration across the organization
Evaluate and adopt emerging technologies to create competitive advantages
Mastery of data engineering, architecture, data modeling, machine learning algorithms, and Data and AI governance
Deep understanding of data privacy/security, data classification, metadata management, and master data management (MDM)
Experience with data governance platforms (e.g., Collibra, Alation, Informatica etc) and integration with data catalogs and lineage tools
Proven expertise in cloud-native data platforms (e.g., AWS/GCP/Azure), data pipelines (e.g., Apache Airflow, dbt), and real-time streaming (e.g., Kafka)
Strong grasp of data modeling, ELT/ETL frameworks, and orchestration tools to support structured and unstructured data at scale
Lead cross-functional teams to build and maintain robust, secure, and high-performance data pipelines and APIs
Ensure data platform reliability, scalability, and cost-efficiency, leveraging DevOps and DataOps best practices
Advanced analytics expertise, including statistical analysis and predictive modeling
Strong background in AI/ML technologies and their business applications
Proficiency in machine learning, deep learning, natural language processing, and generative AI
Strong experience in delivering transformative data and AI platforms, and business solutions with speed
Lead the implementation of data quality standards, policies, and controls, ensuring consistent and trusted data across the organization
Drive data literacy programs and change management initiatives to embed governance practices into daily operations
Experience with AI frameworks (e.g. TensorFlow, PyTorch) and proficiency in languages (e.g. R, Python, SQL), and visualization tools like Tableau, Sigma etc
Practical experience with Generative AI models e.g. GPT, LLaMA, Grok, Gemini, Perplexity etc. Proficient in frameworks, model fine-tuning and prompt engineering
Experience with cloud-based platforms (AWS, GCP, Azure) and extensive experience using modern data management systems and BI platforms e.g. Spark, Snowflake, Databricks etc
Proven ability to collaborate across multiple stakeholders and functions
Experience in managing change and driving cultural transformation within an organization
Strong communication and presentation skills
Experience in building, growing, and leading high-performing teams of data scientists, engineers, and analysts
Strong coaching and mentoring skills to drive individual and team growth
Ability to develop and implement a talent management strategy
Experience in procuring and vetting new tools and technologies
Strong negotiation and procurement skills
Knowledge of vendor partnerships, contract management, and compliance
Qualification
Required
15+ years of experience in leading large-scale data analytics and AI initiatives
Proven track record of delivering transformative projects that drive business growth
Experience in developing and executing comprehensive Data and AI strategies
Define and champion enterprise-wide data governance strategy aligned with business goals, regulatory requirements, and ethical AI principles
Establish data ownership and stewardship frameworks, ensuring accountability across business units and functions
Develop and execute a modern data architecture vision (e.g., data mesh, lakehouse) that supports scalable analytics and AI/ML workloads
Partner with business and technology leaders to prioritize data platform investments and enable self-service analytics
Champion data-driven decision making and GenAI/AI/ML integration across the organization
Evaluate and adopt emerging technologies to create competitive advantages
Mastery of data engineering, architecture, data modeling, machine learning algorithms, and Data and AI governance
Deep understanding of data privacy/security, data classification, metadata management, and master data management (MDM)
Experience with data governance platforms (e.g., Collibra, Alation, Informatica etc) and integration with data catalogs and lineage tools
Proven expertise in cloud-native data platforms (e.g., AWS/GCP/Azure), data pipelines (e.g., Apache Airflow, dbt), and real-time streaming (e.g., Kafka)
Strong grasp of data modeling, ELT/ETL frameworks, and orchestration tools to support structured and unstructured data at scale
Lead cross-functional teams to build and maintain robust, secure, and high-performance data pipelines and APIs
Ensure data platform reliability, scalability, and cost-efficiency, leveraging DevOps and DataOps best practices
Advanced analytics expertise, including statistical analysis and predictive modeling
Strong background in AI/ML technologies and their business applications
Proficiency in machine learning, deep learning, natural language processing, and generative AI
Strong experience in delivering transformative data and AI platforms, and business solutions with speed
Lead the implementation of data quality standards, policies, and controls, ensuring consistent and trusted data across the organization
Drive data literacy programs and change management initiatives to embed governance practices into daily operations
Experience with AI frameworks (e.g. TensorFlow, PyTorch) and proficiency in languages (e.g. R, Python, SQL), and visualization tools like Tableau, Sigma etc
Practical experience with Generative AI models e.g. GPT, LLaMA, Grok, Gemini, Perplexity etc. Proficient in frameworks, model fine-tuning and prompt engineering
Experience with cloud-based platforms (AWS, GCP, Azure) and extensive experience using modern data management systems and BI platforms e.g. Spark, Snowflake, Databricks etc
Proven ability to collaborate across multiple stakeholders and functions
Experience in managing change and driving cultural transformation within an organization
Strong communication and presentation skills
Experience in building, growing, and leading high-performing teams of data scientists, engineers, and analysts
Strong coaching and mentoring skills to drive individual and team growth
Ability to develop and implement a talent management strategy
Experience in procuring and vetting new tools and technologies
Strong negotiation and procurement skills
Knowledge of vendor partnerships, contract management, and compliance
Preferred
B.S. or M.S. degree in Computer Science, Statistics, Mathematics, or related field
Certification in data science or AI (e.g., Certified Data Scientist, Certified Machine Learning Engineer)
Company
OMNIA Partners
OMNIA Partners provide categories Consultation agency, financial service, and commercial and industrial equipment.
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
CapitalG
2025-09-15Private Equity
2021-01-01Acquired
2020-01-01Private Equity
Leadership Team
Amy Smith
Vice President, Lead Agency Partnerships
Barb Sexton
Vice President, Partner Development - Corporate Services
Recent News
2025-11-19
Company data provided by crunchbase