• The Digital Transformation Lead will collaborate with various teams to support finance data, technology, and business unit organizations, aligning AI-related initiatives with key business imperatives. This role will contribute to aligning global AI strategy with enterprise data governance practices, including data policy, roles and responsibilities, processes, data definitions, data quality standards, security, and regulatory compliance levels. Digital Transformation Lead will work closely with the Datalake team to ensure high data quality and minimize production issues.Required Skills:• Strong Analytical Skills: Detail-orientation and solid organizational skills are critical.• AI and Data Tools Experience: Proficiency with data visualization tools like Tableau, Power BI, and machine learning tools such as Azure ML, Snowflake, etc., is desired.• Motivated and Solution-Oriented: Highly driven with a can-do attitude, eager to learn and solve complex problems.• Communication Skills: Strong writing, interpersonal, and communication skills. Ability to adapt and network across a global organization and present well to stakeholders.Primary Responsibilities: • AI Integration: Lead and drive the introduction of AI processes to enhance credit decision speed, efficiency, and data quality. • Technology Evaluation: Screen the market for new AI tools and technologies to benefit Risk Management, participate in RfP processes, and vendor selection.• Requirement Analysis: Conduct working sessions with Risk and Sales teams to gather, analyze, and assess AI-related business requirements and transform them into system requirements.• Project Management: Manage projects to design and implement AI tools and techniques for the risk organization, collaborating with the client IT and external providers.• Business-IT Intermediary: Act as an intermediate between business and IT to understand and achieve optimal solutions for business AI use cases.• Testing and Validation: Review testing strategy and validate AI solutions to ensure they meet requirements. • Data Analysis: Support ad-hoc data and business analysis to identify root causes of problems and recommend AI-based solutions.• Stakeholder Engagement: Facilitate internal stakeholder discussions on AI business and data requirements and recommend solutions.• Report Development: Develop AI-driven reports and analytics using SQL, Python, etc., and test prototypes to answer targeted business questions.• Community Participation: Participate in the Digitalization Community within the Risk organization, build a network of contacts, and help elaborate opportunities to use AI tools to improve credit risk analysis and processes.Qualifications:Education: • Bachelor's degree in an analytical discipline such as Mathematics, Actuarial Science, Statistics, Data Science, Computer Science, Information Technology.• Experience: Ideal candidate will have overall experience of 10-15 years, including 3 years in an AI strategy role; financial industry experience preferred.• Technical Skills: Strong hands-on SQL experience. Exposure to BI tools such as Tableau or Power BI is a must. • Self-Starter: Excellent time management and organizational skills. • Communication: Excellent interpersonal, verbal, and written communication skills.• Presentation Skills: Proven ability to present and explain complex AI concepts to a non-technical audience.• Attention to Detail: Ability to conduct reasonability checks and in- depth reconciliations.• Agile Development: Experience working in Agile Development environment is a plus.• Financial Models: Experience working with financial models is a plus.Note:It is Hybrid role – twice a week in officeVIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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