Job Description
What is the opportunity?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 / standard data models and monitors data quality to meet the organization's information system needs and requirements.Data Integration Architect will apply extensive, in-depth knowledge, skills, 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. To support our rapidly growing group we are looking for Data Scientists and Data Integration Architects who are equally passionate about the opportunity to use rich data to tackle meaningful business problems.
What will you do?
Lead a team of analysts within 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
Ability to inspire highest level of quality/rigor/thought leadership in compete data lifecycle including gathering, transforming, reporting and analytics of the large data sets.
Build best in class integration pipelines from data to ERP platform
Guide team in development of actionable solutions and creation of deliverables that effectively communicate the findings and recommendations.
Leverage big data and cutting-edge data mining techniques, provide thought leadership in analytic techniques and business applications to unlock the value of Bank’s unique data set
Lead development of assets supporting scalable analytic approaches capable of being leveraged by data scientists / 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, 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 building processes and outputs that are agile, efficient, sustainable, and resilient.
Must-have
Minimum of 7+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business consulting, orother 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 querying, automation, and big data…
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