Vice President Director, Technology - AI Customer Solutions

Vice President Director, Technology - AI Customer Solutions

Digitas is seeking a Vice President Director, Technology - AI Customer Solutions to drive technical innovation at the intersection of generative AI, data, and digital marketing. In this pivotal role, you will partner closely with client teams, internal teams and practices to analyze their processes, uncover pain points, and map out opportunities for AI transformation. You’ll explore and evaluate diverse sources of information - including structured data and unstructured content - to design and create bespoke agentic solutions tailored to each unique challenge. While generative AI will be a core focus, your toolbox will also include automation technologies, process/workflow optimization, and the development of new products, platform features or agents.

As an expert in Prompt Engineering, you will bring a deep understanding of how to harness and fine-tune generative models for optimal results. Your relentless curiosity and boundary-pushing mindset will drive you to experiment boldly and identify unconventional approaches that deliver measurable business impact. You will act as a thought leader and hands-on innovator, leveraging the latest advancements in technology to create practical, scalable solutions for our clients and internal teams.

You will serve as a key client partner— contributing to ongoing Digitas AI product and platform development, addressing customer inquiries, and ensuring clients receive exceptional value and support. Your people skills will be equally important as your technical knowledge. Your top-notch communication skills and client-centric mindset will foster strong relationships, solve real client problems leading to client satisfaction, and encourage long-term engagement with our AI solutions.

Why Join Us? You’ll play a pivotal role in shaping the future of digital experiences and AI-powered solutions for Fortune 500 clients, leveraging cutting-edge technology in a collaborative, agency environment.

Key Responsibilities

Supporting organic growth or new business activities such as RFP responses and client pitch development, presentation and follow-up

Building client relationships and trust, and act as an AI solution expert for their team

Translate complex technical solutions into easy-to-understand concepts while conveying value and need

Conducting client walkthroughs of requirements, technology recommendations/POVs and/or live demonstrations of working functionality and capturing feedback

Partner with client & project teams to define technology roadmaps

Directing and driving the end-to-end discovery, strategy, and delivery of AI-powered projects using our bespoke generative AI platform

Gather requirements, architect, prototype, and implement innovative solutions across diverse business use cases

Collaborate with cross-disciplinary teams—including designers, developers, and strategists—to ideate, develop, and launch new products and experiences

Partner with clients to understand their evolving generative AI needs and proactively identify opportunities where generative AI or technology can support their business goals

Lead requirements gathering, use case documentation, and define acceptance criteria in partnership with clients, stakeholders and development teams

Identify opportunities to expand and enhance core platform and collaborate with platform development team to implement

Guide teams, including Product Managers, Engineers, and QA Analysts, across the full software development lifecycle (SDLC), ensuring high-quality, timely delivery

Conduct technology audits, vendor analyses, and help define product roadmaps and technical strategies

Be a subject matter expert in prompt engineering and generative AI best practices, offering hands-on guidance and training to clients to maximize the value of the platform

Present complex technical concepts to both technical and non-technical audiences with clarity and confidence

Stay current with the latest advancements in emergent technologies, protocols, frameworks, best practices and compliance as related to generative AI (for example: CP2A, Responsible AI, MCP, and EvalOps), while identifying opportunities for new processes, functionality and improvement. Maintain strong organizational, time-management, and risk-mitigation practices in a dynamic, fast-paced environment

Flexibility working with international timezones