Associate-Digital Product Management

Global Risk & Compliance (“GRC”) independently oversees the company’s compliance, risk-taking and risk management activities, including the comprehensive identification, management, and mitigation of risks within the Company’s risk appetite. GRC ensures the company operates in a safe, sound and fully compliant manner within all applicable regulatory expectations. We create and maintain the overall risk management framework while ensuring legal and regulatory compliance. We are passionate about our commitment to drive the company’s goals of growth and progress by creating a culture of awareness and proactivity around regulatory matters, and by partnering closely with business units across the enterprise to ensure we deliver maximum value to our shareholders and our customers efficiently and effectively.
The product group within Global Financial Crimes Compliance (GFCC) is responsible for building and implementing innovative technology solutions for GRC; owns the vision and roadmap for capabilities, platforms, and modernization efforts

• Lead feature and user story definition sessions.

• Identify product solutions for short term tactical needs and long-term strategy.

• Establish acceptance criteria, test strategy, and write user acceptance test cases

• Lead scope prioritization sessions and backlog grooming

• Maintain open communication channels with stakeholders, business partners, and technology partners.

• Support governance processes for assigned product(s).

• Seek and apply product feedback – Placeholder

• Partner with contributing to Scope of product and capabilities

• 2+ years Data Management and/or Product Owner in building and launching products.

• Bachelor’s or master’s degree in information technology, Computer Science, Information security, Mathematics, Statistics, or any other relevant qualification

• Proven Track record of Product lifecycle Management, with specific application of Scaled Agile delivery.

• Ability to think abstractly and deal with ambiguous/under-defined problems.

• Good understanding of iterative development, and Agile principles.

• Ability to adjust quickly to shifting priorities, multiple demands, ambiguity, and change.

• Excellent interpersonal skills with a focus to engage, influence, align and encourage partners and business partners across geographies to drive collaboration and alignment.

• Focus on understanding sophisticated business problem and analyze complex data to provide a simplified solution to business partners.

• Financial Crimes business experience and related solution acumen

• Experience in Machine Learning model development and deployment into a production environment

• Experience in Generative AI, prompt engineering concepts, and implementation of GENAI production use cases and governance activities

• Experience working in low code/no-code environments

• Ability to evaluate product performance, define KPIs and monitor outcomes

• Experience in evaluating data quality, performing data governance or implementing reporting tools