Engagement Manager

AuxoAI Engineering Pvt. Ltd. | Full time

New York, United States | Posted on 07/15/2026

Auxo AI is a strategy and management consulting firm focused on helping organizations unlock business value through artificial intelligence, data, analytics, and digital transformation. We partner with executives and business leaders to solve complex challenges, design scalable solutions, and deliver measurable outcomes. Our approach combines strategic thinking, deep business expertise, and hands‑on technical execution to help clients navigate and capitalize on the rapidly evolving AI landscape.

We are looking for a US based Manager who can lead client engagements, develop consulting teams, and bridge the gap between business strategy and emerging technologies. The ideal candidate is equally comfortable in the boardroom and the development environment- able to guide executive conversations, lead consulting teams, and personally contribute to the design and development of AI‑enabled solutions when needed. They bring strong consulting instincts, technical curiosity, and hands‑on experience with data, analytics, automation, and modern AI technologies, allowing them to translate ideas into practical business outcomes.

This role is ideal for someone who thrives in ambiguity, brings structure to complexity, and has the experience and judgment to proactively lead engagements, anticipate client needs, and consistently deliver exceptional results. The successful candidate will serve as a trusted advisor to clients while coaching teams and helping drive the growth of our consulting practice.

• Lead client engagements end-to-end, ensuring successful delivery, measurable business outcomes, and strong client satisfaction.
• Serve as a trusted advisor to client stakeholders, shaping business, data, technology, and AI direction while identifying opportunities to expand value.
• Structure complex problems, facilitate alignment across stakeholders, and develop clear executive‑ready recommendations and delivery plans.
• Define solution vision and implementation approach for AI, data, analytics, and technology initiatives, ensuring business goals translate into practical technical execution.
• Partner with engineers, data scientists, and architects to drive solution design, delivery priorities, and technical decision‑making.
• Contribute hands‑on when needed through coding, prototyping, AI agent development, workflow automation, data analysis, and technical experimentation.
• Manage and mentor cross‑functional teams, including offshore resources, while maintaining high standards of quality, accountability, and performance.
• Stay current on emerging AI and data technologies, helping clients and Auxo AI identify practical ways to apply them for business impact.

• Bachelor's degree in Business, Engineering, Computer Science, Analytics, Information Systems, or a related field.
• 8+ years of experience in management consulting, strategy consulting, technology consulting, or a related professional services environment.
• Proven experience leading complex client engagements and managing executive‑level client relationships.
• Demonstrated experience managing and developing consulting teams, including offshore or distributed delivery resources.
• Strong structured problem‑solving, analytical thinking, executive communication, and presentation development skills.
• Ability to independently lead engagements, anticipate client needs, and drive work streams from problem definition through implementation.
• Strong understanding of data, analytics, artificial intelligence, machine learning, and modern technology ecosystems.
• Hands‑on experience with technologies such as Python, SQL, APIs, automation platforms, analytics tools, or related technologies.
• Experience designing, building, or implementing AI‑enabled solutions, automations, data products, prototypes, or technical proofs of concept.
• Ability to work effectively across business and technical teams and translate strategic objectives into executable solutions.
• Demonstrated curiosity and continuous learning in emerging technologies,…