Data & Ai Delivery Training Manager

Year    Bangalore, Karnataka, India

Job Description


Company DescriptionVisa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement.Join Visa: A Network Working for Everyone.AI & Data are transforming the way Visa works and amplifying our value proposition to clients and partners around the globe. The pace of change has been unprecedented, driving continuous upskilling as a critical strategy. The Data & AI Delivery Training Manager is a member of Visa University's Global Learning Experience Delivery team, responsible for the efficient and effective facilitation of Visa University's evolving 3E (Experience, Exposure and Education) model to build emerging AI & Data capabilities and performance for Visa employees.In this role, you will use your deep technical expertise and proven quick study skills in AI & Data-related capabilities, from ethical and responsible data use (including cleaning, prep, etc.) to both existing and emerging functional data & AI skills including Python frameworks, Kafka, building and connecting models, etc. You will combine that knowledge with your experience facilitating highly interactive and engaging formal and informal skill building on high priority emerging AI & Data-related skills. Your experiences will span technical onboarding, hands on coding labs, scenario-based immersion and community-based learning experiences, both inside and outside traditional in-room & virtual learning environments.Your learners will span the entire range of technical experience in the employee population, including deep technical employees like software developers, data engineers, data scientists & analysts, cybersecurity engineers, etc.You will also apply your demonstrated effectiveness in delivering engaging and memorable learner experience to coaching subject experts into becoming effective scaled peer learning facilitators across the globe. The role grows together with emerging Visa technologies.This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.Qualifications8 or more years of relevant work experience with a Bachelor's or Master's degree in a technical area like EE or CS. The focus of your work has been in upskilling, working with technology teams.Preferred Qualifications:

  • 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
  • 7+ or more years, of work experience with an Bachelor's Degree. Master's degree is preferred in the area of: CS, EE, Data Science, etc.
  • Progressive experience delivering technical training to software developers, data scientists & engineering, cybersecurity and similar technical learners.
  • Strong business acumen.
  • A passion for teaching, facilitation and providing awesome learning experiences.
  • The ability to learn new skills quickly.
  • The ability to facilitate formal and informal learning programs using single channel or blended approaches, including virtual and classroom-based instructor-led training (ILT), peer-to-peer learning, on-the-job learning, digital cohorts, community-based, etc.
  • The ability to comprehend and translate complex technical concepts into terms that are easy to understand in an influential and persuasive manner.
  • Strong communication (written and verbal) and consulting skills.
  • Comfortable with ambiguity and an agile organization with rapidly changing requirements and content.
  • Comfortable collaborating in a diverse global environment. Self-motivated and resourceful with well-developed listening skills needed to work with diverse teams.
Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa

Beware of fraud agents! do not pay money to get a job

MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Related Jobs

Job Detail

  • Job Id
    JD3534495
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bangalore, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year