Job Description

Job Description:
The Digital Transformation Lead will collaborate with various teams to support finance data technology and business unit organizations aligning AIrelated 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: Detailorientation 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 SolutionOriented: Highly driven with a cando 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 AIrelated 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 SFS IT and external providers.
BusinessIT 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 adhoc data and business analysis to identify root causes of problems and recommend AIbased solutions.
Stakeholder Engagement: Facilitate internal stakeholder discussions on AI business and data requirements and recommend solutions.
Report Development: Develop AIdriven 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: Bachelors 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 1015 years including 3 years in an AI strategy role; financial industry experience preferred.
Technical Skills: Strong handson SQL experience. Exposure to BI tools such as Tableau or Power BI is a must.
SelfStarter: 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 nontechnical audience.
Attention to Detail: Ability to conduct reasonability checks and indepth reconciliations.
Agile Development: Experience working in Agile Development environment is a plus.
Financial Models: Experience working with financial models is a plus.
Join our team at SFS Inc. and lead the Digital Transformation to transform risk management and credit analysis processes driving innovation and efficiency in financial services.

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