Could you be a good fit?
We are looking for an experienced Director of Data & AI Engineering to join the team of our exceptional client. This role is responsible for defining and executing the organization's data, analytics, and artificial intelligence strategy while building a modern, scalable, and governed data ecosystem.
This is a strategic technical leadership position for someone who is passionate about transforming data into actionable insights and leveraging AI to drive innovation and business value. The ideal candidate combines strong architecture expertise, people leadership experience, and a practical understanding of modern cloud-native data and AI platforms.
Benefits
• Healthcare Medical, Dental, and Vision Insurance
• 401k
What will your day look like?
As the Director of Data & AI Engineering, you will:
• Define and execute the long-term vision and strategy for data engineering, analytics, business intelligence, and artificial intelligence initiatives
• Lead architecture and technical decision-making across data platforms, analytics solutions, and AI/ML capabilities
• Build and mature modern cloud-native data platforms and data engineering practices
• Develop scalable and governed self-service analytics capabilities that empower business stakeholders
• Establish and maintain enterprise data governance standards, including data quality, ownership, lineage, classification, and access controls
• Lead AI and machine learning initiatives from concept through deployment and operational support
• Drive adoption of MLOps best practices, including model lifecycle management, monitoring, governance, and performance optimization
• Partner with business leaders to identify opportunities where data, analytics, and AI can create measurable business value
• Collaborate with engineering teams to ensure data and AI solutions are scalable, secure, reliable, and cost-efficient
• Develop and maintain enterprise architecture standards, technical roadmaps, and operational procedures
• Manage third-party vendors, consulting partners, and technology providers
• Champion modernization initiatives and evaluate emerging technologies across the data and AI landscape
• Establish key performance indicators and success metrics for data platform performance, data quality, analytics adoption, and AI outcomes
• Build, mentor, and grow a high-performing Data & AI Engineering organization
• Foster a culture of innovation, accountability, collaboration, and continuous improvement
You will be a good fit for this role if you have:
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field, or equivalent experience
• 10+ years of experience in Data Engineering, Business Intelligence, Analytics, Data Architecture, AI/ML, or related fields
• 4+ years of leadership experience managing technical teams and engineering professionals
• Experience designing and implementing modern cloud-based data platforms
• Strong knowledge of data architecture, data modeling, data pipelines, and enterprise data ecosystems
• Experience with modern data platform technologies, including lakehouse architectures and cloud-native analytics solutions
• Strong experience with ETL/ELT development, orchestration, and pipeline monitoring
• Experience building and supporting enterprise business intelligence and self-service reporting solutions
• Experience with analytics platforms such as Power BI, Tableau, or similar technologies
• Strong understanding of machine learning operations (MLOps) disciplines, including:
• Model lifecycle management
• Monitoring and observability
• Version control
• Governance and auditability
• Model performance management
• Experience implementing data governance frameworks, including:
• Data quality management
• Data stewardship
• Data lineage
• Data classification
• Access controls
• Knowledge of cloud technologies and services across AWS, Azure, or similar platforms
• Experience managing vendors, consultants, and external delivery partners
• Strong stakeholder management and executive communication skills
• Ability to balance strategic planning with technical oversight and execution
Nice-to-Haves
• Experience implementing enterprise AI or machine learning programs
• Experience leading self-service analytics transformations
• Experience supporting regulated business environments
• Experience with modern lakehouse platforms and cloud data ecosystems
• Experience implementing enterprise data governance programs
• Familiarity with AI governance, responsible AI principles, and model-risk management practices
• Experience optimizing cloud, platform, and analytics costs
• Experience partnering closely with Security, Compliance, Finance, Product, and Engineering teams
• Industry certifications related to cloud architecture, data engineering, analytics, or AI/ML
• Graduate degree in a technology, analytics, or business-related discipline
What Makes Someone Successful in This Role?
The strongest candidates are leaders who can combine business strategy, modern data architecture, and AI innovation into a cohesive vision that drives measurable outcomes.
Successful candidates typically bring:
• Strong technical leadership across data, analytics, and AI disciplines
• Deep understanding of modern cloud-native data architectures
• Experience building scalable, governed, and high-performing engineering teams
• The ability to connect technical solutions with business objectives
• Strong communication and executive influence skills
• A passion for data-driven decision-making and innovation
• A practical approach to balancing governance, cost, performance, and business agility
This role is ideal for someone who enjoys shaping enterprise technology strategy, building modern data ecosystems, and helping organizations unlock the full value of their data and AI investments.
About Market Street Talent
Market Street Talent is a specialized staffing and consulting firm focused on IT and technology positions. Our deep industry knowledge allows us to match exceptional candidates with organizations where they can thrive and make an immediate impact.
Our Vision: To promote and foster the growth of information technology (IT) in our world—one candidate, one client, one community at a time.
Our Goal: To guide clients and candidates through the placement process and build long-term, successful relationships.
Our Culture: At MST, we value excellence, respect, and empathy in everything we do.
Sound like you?
Ready to lead the future of Data, Analytics, and AI while building a world-class engineering organization? Click “Apply Now” and let's start the conversation!
