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Infosys · 4 days ago

Segment Lead - AI

Phoenix, AZ

Full-time

Hybrid

Director/Executive

18+ years exp

Infosys is a global leader in next-generation digital services and consulting. They are seeking a Segment Lead - AI to define, market, and grow their Artificial Intelligence Strategy and Consulting Service line, collaborating with stakeholders to deliver AI initiatives for global organizations.

ConsultingInformation ServicesInformation TechnologyIT ManagementSoftware

No H1B

Responsibilities

Define, take to the market and grow next generation Artificial Intelligence Strategy and Consulting Service line

Work with internal and external stakeholders to deliver AI initiatives for leading global organizations worldwide

Identify technology big bets in AI space

Develop reusable solutions around them

Lead solution prototypes and proactively take it to the market

Define GTM (Go to Market) strategy

Demand generation and growth of this service line

Enable the team and to develop point of views, thought leadership content on AI technology trends influencing enterprises

Network and collaborate with IT and Business Leaders such as, CTO, CDOs of client organizations

Qualification

AI technologiesTechnology ConsultingData engineeringCloud technologiesMachine LearningGenerative AISoftware developmentEnterprise ArchitectureSQLNoSQLCross-cultural collaborationThought leadershipP&L accountabilityIndustry certificationsCommunication skillsTeam leadership

Required

Candidate must be located within commuting distance of Raleigh, NC or Richardson, TX or Phoenix, AZ willing to relocate. This position may require travel in the US

Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education

At least 18 years of Information Technology experience, with at least 5 years' experience in Technology Consulting in one or more areas like Digital, Cloud, AI or Enterprise Architecture across multiple layers of technologies including Application, Data, Infrastructure, hyper scalers etc

In depth experience in architecture and delivery of programs in data, analytics, ML and AI technologies

Should have very good understanding and exposure to the products and models relevant to data, analytics and AI space

Should have good understanding of the AI standards and industry best practices

Prior Experience in software development, Architecture and Design of large enterprise systems. In addition, prior experience in one or more areas like creating IT Strategy & Roadmap, Cloud adoption strategy, TCO analysis, AI adoption strategy, Responsible AI Adoption and Legacy Tech Transformation

Should have experience and expertise in following technologies: Java, Python, Data engineering, Data and Database engineering, AI, Machine Leaning, Generative AI, Scripting, Spark, Hadoop, SQL, NoSQL, PyTorch and one of the cloud technologies like AWS, Azure or GCP

Should have worked on at least in two or more industry domains. Should have a good knowledge of industry domain business capabilities specific tech platforms, products and solutions space in two or more industries

Should have very good communication and articulation skills (verbal and written) and should be able to communicate with right level of abstraction and details, when interacting with CxOs, Middle management and developers, non-IT stakeholders. Should be able to drive workshop discussions with IT and Business communities

Should have personally led and delivered one or more digital or cloud or data or AI transformation program successfully with tangible business outcomes

Should have led a team of architects as part of large programs and provided guidance, coaching and mentoring to ensure tech quality of the program is met

Should be able to work as part of a cross-cultural global teams

Preferred

Should have led a service line with P&L accountability in consulting or technology outsourcing firms earlier

Preferred to have completed industry standard certifications in cloud, data, analytics and AI (AWS, GCP, Azure), Enterprise Architecture certifications like TOGAF etc