Director - Subledger Integration Lead

We are looking for a highly motivated Director – Data Integration Subledgers who will lead and provide strategic direction for the Finance and Risk Data Platform.

• Lead a team of analysts within the Data Engineering group, including project oversight, coaching and professional development.
• Lead other tasks on transformation, data governance, system infrastructure, analytics tool evaluation, and other cross‑team functions on an as‑needed basis, inspiring high quality and rigorous thought leadership throughout the data lifecycle.
• Build best‑in‑class integration pipelines from data to the ERP platform.
• Guide the team in developing actionable solutions and creating deliverables that effectively communicate findings and recommendations.
• Leverage big data and cutting‑edge data mining techniques, providing thought leadership in analytic techniques and business applications to unlock the value of the bank’s unique data set.
• Lead development of assets supporting scalable analytic approaches that can be leveraged by data scientists and analysts globally.
• Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to revenue potential.
• Evangelize new analytic approaches for processing big data through internal training, documentation, and technical sharing sessions.
• Utilize Hadoop, Hive, Databricks, Snowflake, and related query engines to perform advanced data mining and analysis.
• Research industry metrics and business context, bringing this context to bear in analyses, and find opportunities to create and automate repeatable analyses or build self‑service tools for business users.
• Direct the execution of medium to large analytic projects based on business requirements and desired outcomes.
• Define detailed analytic scope and methodology and create architecture plans for data assets.

• Apply problem‑solving techniques and business acumen to derive insights toward simple and complex business objectives.
• Understand the business context to ensure analytical insights are properly interpreted.
• Utilize best practices to operationalize analytical work, building processes and outputs that are agile, efficient, sustainable, and resilient.

• Minimum 7 years of analytical experience applying solutions to business problems in relevant fields such as analytics, business consulting, or other data‑driven functions.
• Advanced quantitative, qualitative, analytical, problem‑solving, and critical thinking skills.
• Advanced knowledge of databases and engineering concepts with hands‑on experience with one or more data analytics/programming tools such as Hive, SQL, Spark, Python.
• Experience utilizing queries, automation, and big data technologies (Python, SQL, Spark, Teradata, Hadoop, Snowflake, Databricks) to produce repeatable insights.
• Exceptional storytelling skills, translating complex data into compelling business insights.
• Expertise in predictive modeling and machine learning techniques.
• Knowledge of the big data engineering stack including Hadoop, Spark, Kafka, Snowflake, Databricks and related components.
• Solid understanding of finance business processes such as balance sheet reporting, P&L reporting, capital reserve reporting, capital markets products and processes, and regulatory reporting.
• Attention to detail, ensuring accuracy and reliability of complex analyses and deliverables.
• Ability to communicate findings to senior leadership, both verbally and visually.
• Strong organizational and leadership skills, with ability to work under deadline conditions and manage multiple tasks concurrently.
• Excellent interpersonal, written, verbal, and listening skills.
• Strong collaboration skills and ability to work both in a team‑oriented environment and independently.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Data Analytics, Statistics, Information Systems, or a related field (or extensive related work experience). A higher degree or certifications related to data analysis is a plus.
• Proficiency with creating compelling presentations.
• Comfort dealing with ambiguity.
• Outstanding interpersonal and…