Job Summary:
One of the top priorities across Global Finance, Credit Risk and Liquidity is to evolve the organization to a more integrated data and reporting strategy – one that is globally consistent and usable for business, finance, risk, and regulatory requirements.
Job responsibilities:
- Provide strategic thought leadership on developing and delivering data solutions that support business operations, strategic objectives, and advanced analytics.
- Collaborate with product owners, business process owners, and analytics leads to identify, define, and prioritize critical data needs, ensuring effective governance, integration and utilization across the business.
- Support the aligned Data & Analytics lead for their product by identifying data required to be integrated into analytics platforms to support projects such as analytics, machine learning and artificial intelligence.
- Establish and maintain collaborative partnerships with stakeholders to enhance data understanding and quality across business areas and functions.
- Direct the creation and implementation of processes to identify, monitor, and mitigate data risks, including protection, retention, storage, use, and quality.
- Prioritize resources to deliver strategic objectives and resolve identified data issues in a timely and consistent manner that maintains data consumer trust
- Oversee data strategy initiatives, ensuring alignment with business goals, and collaborate with senior leadership to prioritize and execute critical projects.
- Manage and mentor staff, both direct and matrixed; effectively drive teams toward a robust set of execution milestones and mitigate risks, bottlenecks, and inefficiencies
- Lead data governance and risk management efforts, providing subject matter expertise and driving collaboration across functions.
Required qualifications, capabilities and skills:
- Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics or a related field.
- 10+ years of experience in data management, data governance, risk management / analytics, or a related field, with a proven leadership track record.
- Ability to lead and mentor cross-functional teams, with strong strategic thinking and decision-making skills.
- Deep understanding of data management principles, governance frameworks, and lifecycle management, including data protection, data quality and data classification.
- Strong analytical and problem-solving skills, translating complex data concepts into actionable business strategies.
- Excellent communication skills, effectively conveying complex data concepts to both technical and non-technical stakeholders with poise and confidence.
- Proven ability to build and maintain strong relationships with key stakeholders and manage large-scale data projects.
- Proven leader and influencer with the ability to think on their feet
Preferred qualifications, capabilities and skills:
- Experience with cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud.
- Familiarity with advanced analytics, machine learning, or artificial intelligence applications in a business context.
- Understanding of Hadoop or Public Cloud related technologies & their applications
- Proficiency in data visualization tools, such as Tableau or Power BI, to effectively communicate data insights to stakeholders.
- Advanced degree preferred