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Vice President, Data Science & AI- Microsoft

Denver

Abstract 3D rendering metal geometries

The opportunity

At Valtech (legacy Kin + Carta), we’ve got opportunities to offer you — for learning; for growing; for making world-changing impact; for being a real agent of change. Our global workforce exists to unlock a better way to experience the world, and that all starts with our workplace. We’re proud of:  

The role

Valtech is a global digital agency focused on transforming businesses by leveraging cutting-edge technology, creativity, and innovation. We are seeking a visionary Vice President, Data Science & AI as a leader within Data & AI, with deep expertise in Microsoft Azure and Databricks. This executive will be pivotal in driving AI-powered solutions for our clients, fostering innovation, and advancing our mission to deliver exceptional value while playing a critical role in sales enablement and business growth.

Travel Requirement: 

Please note that this position requires up to 50% travel.

Role responsibilities

  1. Strategic Leadership:
    • Develop and execute the vision for Valtech’s data science and AI capabilities with other data leaders in the region and around the globe.
    • Build and lead a high-performing team of data scientists, AI engineers, and analysts.
    • Drive alignment between AI initiatives and the organization’s broader business goals.
  2. Client Engagement:
    • Act as a strategic advisor to clients, identifying opportunities for AI and data-driven transformation. Articulate the ROI that data & ai initiatives can drive in the enterprise.
    • Collaborate with client teams to design and deliver tailored AI and data science solutions.
    • Represent Valtech as a thought leader in the AI and data science community through conferences, publications, and events. Define POV on how we differentiate data offerings.
  3. Sales Enablement and Growth:
    • Partner with sales teams to develop strategies for leveraging data science and AI as a competitive advantage in client proposals and engagements.
    • Craft compelling narratives and business cases for AI solutions to support client acquisition and retention.
    • Be a key leader in client presentations and pitches as the data science and AI subject matter expert.
    • Identify new revenue streams and opportunities for expanding Valtech’s AI offerings within existing and prospective accounts.
    • Collaborate with marketing teams to create thought leadership content and showcase Valtech’s AI capabilities to the market.
    • Develop partner relationships within Microsoft and Databricks to help drive growth.
  4. Technical Expertise:
    • Lead the development and deployment of scalable AI models, predictive analytics, and machine learning solutions using Microsoft Azure and Databricks.
    • Oversee the architecture of data pipelines and platforms to ensure performance, scalability, and security.
    • Stay ahead of emerging trends in AI, machine learning, and cloud technologies to drive innovation.

Minimum qualifications

We want all new hires to succeed in their roles at Valtech. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Minimum Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.

  • 10+ years in data science and AI leadership roles, with a proven track record of delivering large-scale AI solutions.
  • Extensive experience with Microsoft Azure (including Azure ML, Synapse/Fabric, and Data Factory) and Databricks.
  • Demonstrated experience supporting sales pursuits and driving revenue growth through innovative AI solutions.
  • Familiarity with software development best practices, including DevOps for machine learning (MLOps).
  • Exceptional problem-solving and critical-thinking skills.
  • Strong communication skills, with the ability to articulate technical concepts to non-technical audiences.
  • Proven ability to build relationships and influence stakeholders at all levels.

Preferred qualifications

  • Master’s or PhD in Data Science, Computer Science, AI, or a related field.

The benefits

This is a full-time salaried position in the United States. The salary range offered for this position is $275-375K annually, depending on experience.

Beyond a competitive full compensation package, we pride ourselves on offering you flexibility, career advancement & learning and development. Our benefits are country specific to cater to the needs of our people so your talent partner will be able to run through the benefits for your location on the screening call.

Your process

After submitting your application, you will hear from a member of our Talent Acquisition team if your skills and experience match the position. Be mindful of recruitment fraud by only replying and engaging with email contacts that end with the '@valtech.com' domain.

We strive to create an inclusive environment for all candidates. If you have any specific requirements or need reasonable adjustments to participate in the application or interview process, please let us know at kincarta-amer.ta.team@valtech.com.

About Valtech 

Valtech, who recently acquired Kin + Carta, is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, our global team of 8,000 professionals in more than 60 offices help brands unlock value in a digitally accelerated world. At the intersection of insights and perspectives, we leverage the power of data, AI, creativity, and technology to achieve experience innovation for many of the world’s best-known organisations, including L’Oreal, NatWest, DWP, P&G, Volkswagen, and US department of Agriculture.

Valtech will always be recognized not just for the quality of the work we deliver, but for all the amazing people that make it happen. We work to create an equitable workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). At Valtech, we don’t just talk about how to get things done; we transform by doing.  

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