MasterCard Director, AIOps, Machine Learning and Automation in O'Fallon, Missouri
Who is Mastercard?
We are the global technology company behind the worlds fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless ®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.
Director, AIOps, Machine Learning and Automation
The Director, AIOps and Machine Learning will be responsible for setting the vision and leading the new AIOps and Machine Learning team within the Technology Operations division. Core function of the team is to define and drive the strategy to leverage Artificial Intelligence and Machine Learning capabilities to provide early detection of potential issues, reduce mean time to restore, and implement intelligent automation and self-healing capabilities to reduce/prevent incidents before they occur.
Defines and drives AI and Machine Learning strategy and road map planning, working across Tech Ops, BizOps and development teams and influences the direction of external teams.
Identifies opportunities to leverage AI capabilities for efficiencies and cost reductions
Partners with technology stakeholders to prioritize top AI opportunities and transform large volumes of operational data into AI-driven solutions using creative, cutting edge methods/technologies.
Defines and tracks relevant KPIs and other metrics to validate the value delivered via implemented AI and machine learning solutions.
Formally supervises and coaches a large group/team, or several Leaders/ Consultants and is responsible for business execution of goals and objectives
Helps identify and coach top talent within own teams (includes direct reports and second-line reports)
Creates and sustains an environment of ingenuity and creativity and challenges the status quo to encourage innovation
Execution with precision and working with other engineering teams across the organization to manage internal and external dependencies to deliver quality product on time and on budget
Considered a thought leader and expert in Artificial Intelligence, Machine Learning or related function as well as experience in related software/engineering disciplines
Software Engineering experience with demonstrated thought-leadership and functional influence and partnership demonstrated by a successful track record of enabling business through these technical decision
Proven ability to design / architect highly scalable applications/platforms
Proven track record of delivering large scale projects and willingness to roll up sleeves to get the job done
Excellent communication / presentation skills
Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Requisition ID: R-62192