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Cleartelligence

Data analytics consulting and visualization services

AI Engineering Practice Director

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeUnited States$200k - $250kIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Information Systems, Information Science, Data Science, or a related technical discipline is required; a master's degree is a plus.
  • At least 15 years of experience leading enterprise technology initiatives, with a strong foundation in Data Engineering and modern Application Development and experience leading AI, Machine Learning, and Generative AI initiatives.
  • Proven success delivering enterprise solutions spanning Data Engineering, cloud-native Application Development, AI, and modern software architecture.
  • Demonstrated experience designing scalable data platforms, APIs, distributed systems, and cloud-native applications that enable enterprise AI capabilities.
  • Deep expertise delivering enterprise AI and Generative AI solutions built upon modern data platforms.
  • Expert knowledge of LLMs, RAG, AI agents, orchestration frameworks, vector databases, foundation models, and Generative AI technologies.
  • Strong experience with AWS, Azure, or Google Cloud.
  • Strong understanding of APIs, microservices, CI/CD, DevOps, cloud architecture, and application integration.
  • Deep knowledge of data architecture, data engineering, governance, analytics, and enterprise integration.
  • Proven ability to advise executive stakeholders on modernizing legacy data and application environments to successfully adopt AI.
  • Leadership experience building high-performing consulting teams.
  • Strong consulting, executive communication, client relationship management, and business development skills.
  • A strategic mindset and commitment to responsible AI.

Responsibilities

  • Develop and execute the strategic vision and growth strategy for the AI consulting practice.
  • Build, lead, and strategically manage a high-performing AI Engineering team, including workforce planning, resource allocation, capacity management, and skills development to meet evolving client demand.
  • Establish delivery methodologies, governance standards, best practices, and reusable AI accelerators.
  • Foster a culture of innovation, collaboration, technical excellence, and continuous learning.
  • Recruit, coach, and develop consulting talent while providing performance management and career development.
  • Track practice performance, optimize team effectiveness, and build a high-performing consulting organization.
  • Partner with Sales and Client Partners to identify new opportunities, develop AI strategies, and expand client relationships.
  • Represent the company as a thought leader through executive briefings, industry events, conferences, and published content.
  • Serve as the executive technical advisor on strategic client engagements and AI transformation initiatives.
  • Guide clients from modern data platforms and application development to scalable enterprise AI solutions.
  • Develop AI roadmaps aligned with business objectives, cloud architecture, data strategy, and application modernization.
  • Provide technical leadership across Data Engineering, Application Development, cloud architecture, and AI solution design.
  • Evaluate emerging AI technologies and ensure solutions follow enterprise security, governance, and responsible AI principles.
  • Lead the successful delivery of AI consulting engagements from strategy through implementation.
  • Collaborate with clients to define roadmaps, project scope, statements of work, and delivery plans.
  • Manage project quality, delivery risk, consultant utilization, and client satisfaction while continuously improving delivery methodologies.
  • Participate as a member of pitch teams, help shape solutions, and contribute to winning new client work.

About the Company

Cleartelligence

Data analytics consulting and visualization services

Cleartelligence helps organizations turn data into actionable insights by providing data and analytics consulting that aligns business goals with data strategies. Its approach combines business and technical expertise to envision, design, and implement solutions using data management, visualization, and advanced analytics to solve complex problems. It differentiates itself through a strong mix of functional and technical know-how and end-to-end support from ideation to deployment, ensuring analytics tie directly to business objectives. Its goal is to enable every level of an organization to make better decisions by making trusted information available when and where it’s needed.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Newton, MA
Founded
2011

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