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.

The Director – Data Integration Subledgers identifies data sources, extracts key data, transforms it into actionable insights and standard data models, and monitors data quality to meet the organization's information system needs and requirements. The Data Integration Architect will apply extensive knowledge and practices to perform complex assignments to bridge the gap between business and technology by delivering critical insights and analysis to shape strategy, evolve data connectivity, and provide insights into data transformation.

The global functions technology group supports Finance and Risk Business partners by using our extraordinarily rich data set that spans multiple versions and geographies globally and captures detailed datasets. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Engineering and various groups at the Bank.

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.

Inspire the highest level of quality, rigor, and thought leadership in the complete data lifecycle including gathering, transforming, reporting, and analytics of the large data sets.

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 the findings and recommendations.

Leverage big data and cutting‑edge data mining techniques, and provide thought leadership in analytic techniques and business applications to unlock the value of the Bank’s unique data set.

Lead the 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 by leading technical sharing sessions.

Utilize Hadoop and related query engines such as Hive, Databricks, and Snowflake to perform advanced data mining and analysis.

Research industry metrics and business context and bring this context to bear in analyses.

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 business outcomes.

Define detailed analytic scope and methodology and create architecture plans for data assets.

Apply problem‑solving techniques and business acumen to derive business insights toward simple and complex business objectives.

Understand the business in areas of focus to ensure analytical insights are properly understood in business context.

Utilize best practices to operationalize analytical work by 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, or Python.
• Experience utilizing querying, automation, and big data technologies (e.g., Python, SQL, Spark, Teradata, Hadoop, Snowflake, Databricks) to produce repeatable insights.
• Exceptional storytelling skills, with a track record of translating complex data into compelling business insights.
• Expertise in…