Data Profiling & Ad Hoc Data Science - Vice President

As a Vice President in the Data Profiling and Ad Hoc Data Science team, you will play a crucial role in tackling complex data challenges and delivering actionable insights. Your responsibilities will include: - Leading and supporting initiatives such as data quality issue root cause analysis, data product prototype development, regulatory inquiries, management requests, and data lineage analysis. - Performing deep data profiling and analysis using modern data science tools and environments, including Python, R, SQL, Spark, and cloud platforms. - Developing and delivering data product prototypes and analytic solutions that address business needs and drive strategic decision-making. - Collaborating closely with business, technology, and control partners to understand requirements, deliver insights, and support regulatory and management requests. - Ensuring analytic approaches are robust, scalable, and aligned with data governance and compliance standards. - Communicating findings, recommendations, and prototypes effectively to both technical and non-technical stakeholders. - Continuously innovating and advancing the data science agenda across the organization. - Driving and supporting impactful solutions to complex business and data challenges within the Data Profiling and Ad Hoc Data Science team. - Translating business needs into actionable data science solutions as a subject matter expert in wealth and asset management, customer, account, and related data domains. - Maintaining a strong focus on data integrity, quality, and compliance while ensuring analytic approaches align with business objectives. - Influencing stakeholders and leading initiatives independently or as part of a team, leveraging at least 7+ years of relevant experience as a Vice President (VP). Required qualifications, capabilities, and skills: - Strong technical skills in data science, analytics, and data management, including proficiency in Python, R, SQL, Spark, and cloud data platforms. - Experience with data visualization tools (e.g., Tableau, Power BI) and data lineage analysis. - Ability to multi-task in a fast-paced environment and operate independently. - Strong judgment with the ability to balance strategic vision with pragmatic delivery. - Experience building and growing data science capabilities and developing talent. - Excellent interpersonal skills and ability to build strong working relationships with key stakeholders. Preferred qualifications, capabilities, and skills: - 7+ years of experience in data science, analytics, or related fields within financial services. - Deep subject matter expertise in wealth and asset management, customer, account, and/or related data domains. - Proven ability to execute in a matrixed and complex environment with the ability to influence people at all levels of the organization. - Experience in strategic or transformational change initiatives. - Ability to work in a highly collaborative and intellectually challenging environment. - Excellent communication skills with the ability to convey complex technical concepts to diverse audiences. - Willingness and ability to challenge the status quo, think creatively, and problem-solve.,