Manager-AI and Data Risk Management
- Act as a team leader in engagements, providing project oversight and guidance on the direction for the team ensuring the team is aligned with client / engagement objectives
- Be the main point of contact for clients, communicating progress, and insights to stakeholders
- Design and implement solutions to enhance data management capabilities such as data architecture, data platforms, data governance, data quality, and data security
- Apply knowledge of Financial Services industry systems, tools, and technologies to develop robust and scalable solutions
- Integrate and/or pilot next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) in designing solutions or execution of engagements
- Oversee technical components of data initiatives and perform technical reviews of solutions designed by the team
- Coordinate with cross-functional teams internally and externally to execute engagements
- Develop strategies for utilizing analytics and visualization tools to transform raw data into actionable insights for the clients
- Prepare reports for senior management that detail progress, challenges, and milestones related to projects and initiatives
- Present findings and recommendations to stakeholders in a clear, impactful manner
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
- Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
- 7+ years' experience in data architecture, data management, or data engineering
- 3 years' experience in the financial services or fintech industry
- Proficiency in tools in the following areas:
- Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.)
- Big Data Tools (e.g., Databricks, Snowflake, Apache Spark & Kafka, etc.)
- Data Management (e.g., Collibra, Alation, Informatica, Alteryx, etc.)
- Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.)
- Data Visualization (e.g., Tableau, PowerBI, Qlik, etc.)
- Data Mining (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.)
- Experience in:
- Reporting tools such as Axiom for regulatory reporting in banking
- Data integration and migration projects within financial services
- Data governance tools and their application in a regulatory context
- Ability to manage large datasets and perform complex data manipulations and analyses
- Strong analytical skills with the ability to interpret complex data and translate it into actionable insights
- Proven track record of effective communication (written and verbal) and complex problem solving in fast paced environments
- Experience managing distributed teams across geographies and overseeing complex projects
- Limited immigration sponsorship may be available
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Master's degree in Computer Science, Information Technology, Information Systems or a related field OR MBA
- Project Management Professional (PMP), Cloud Certification (e.g. AWS, Azure), Certified Data Management Professional (CDMP), or similar credentials
- 4+ years of experience in the financial services industry
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