Enterprise AI Solutions Sr. Tech Lead

Role Purpose

•    Act as the technical point of contact with Enterprise product owner, working together to understand the customers challenges and requirements.
•    Build robust AI solutions, ensuring alignment with business objectives and customers requirements.
•    Along with Enterprise product owners, identify opportunities for AI adoption and suggest innovative solutions to enhance customer value.
•    Leverage technical expertise and knowledge of AI technologies to bridge the gap between customers’ requirements and solution development.
•    Work side by side with Enterprise product owners to build strong relationships with customers, ensuring their satisfaction and trust in Vodafone AI solutions.

Role Profile

•    Translate customer requirements into detailed technical specifications.
•    Oversee the design, development, and delivery of tailored AI solutions.
•    Ensure solutions are scalable, efficient, and seamlessly integrate with customer systems.
Technical Leadership:
•    Act as the subject matter expert (SME) for AI technologies and their application in enterprise environments.
•    Work closely with Data Scientists and developers, virtually lead the technical squads to ensure the right implementations are there to meet the customers’ requirements.
Decision Ownership:
•    Approve solution designs, accept the solutions with Enterprise product owners to ensure it aligns with customers’ requirements and technical constraints.
•    Prioritize development efforts based on customer impact and feasibility.

Customer Engagement:
•    Work closely with Enterprise product owners to fulfill the customers’ requirements.
•    Present technical concepts and AI solutions in an accessible manner to non-technical stakeholders.
•    Support Enterprise product owners to build and maintain strong customer relationships to ensure long-term partnership.

Opportunity Identification:
•    Proactively identify new use cases and opportunities for AI adoption within client organizations.
•    Recommend AI-driven innovations to address emerging customer challenges.

Competencies and Qualifications

Key accountabilities and decision ownership 
Solution Development:
•    Translate customer requirements into detailed technical specifications.
•    Oversee the design, development, and delivery of tailored AI solutions.
•    Ensure solutions are scalable, efficient, and seamlessly integrate with customer systems.
Technical Leadership:
•    Act as the subject matter expert (SME) for AI technologies and their application in enterprise environments.
•    Work closely with Data Scientists and developers, virtually lead the technical squads to ensure the right implementations are there to meet the customers’ requirements.
Decision Ownership:
•    Approve solution designs, accept the solutions with Enterprise product owners to ensure it aligns with customers’ requirements and technical constraints.
•    Prioritize development efforts based on customer impact and feasibility.

Customer Engagement:
•    Work closely with Enterprise product owners to fulfill the customers’ requirements.
•    Present technical concepts and AI solutions in an accessible manner to non-technical stakeholders.
•    Support Enterprise product owners to build and maintain strong customer relationships to ensure long-term partnership.

Opportunity Identification:
•    Proactively identify new use cases and opportunities for AI adoption within client organizations.
•    Recommend AI-driven innovations to address emerging customer challenges.
    Core competencies, knowledge, and experience
Customer-Focused Communication:
•    Strong interpersonal and communication skills for engaging with Enterprise product owners, customers (when needed) and understanding their needs.
•    Ability to translate complex technical concepts into customer-friendly language and build robust technical AI solutions accordingly.
Technical Expertise:
•    Good understanding of AI/ML technologies, tools, and frameworks.
•    Familiarity with cloud platforms (AWS, Azure, GCP) and big data solutions.
Business Acumen:
•    Strong knowledge of enterprise operations and how AI can deliver value.
•    Ability to identify and recommend AI opportunities to address client pain points.

Problem Solving and Innovation:
•    Analytical mindset with a proactive approach to solving complex challenges.
•    Innovative thinking to develop novel AI solutions tailored to customer needs.
Collaboration and Leadership:
•    Ability to work cross-functionally with technical and business teams.
•    Leadership in guiding solution development and ensuring high-quality delivery.

    Must have technical/ professional qualifications: 
•    Bachelor’s or master’s  bdegree in computer science, Artificial Intelligence, Data Science, or a related field.
•    5–7 years of experience in AI/ML & solution design and implementation.
•    Hands-on experience with programming languages (Python, R) and AI frameworks).
•    Familiarity with enterprise systems and their integration with AI solutions.
•    Strong presentation and communication skills for engaging with diverse audiences.
•    Proven track record of identifying and implementing innovative AI use cases.

Not a perfect fit?

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.

Who we are

We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.

If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.

Together we can.