This job has expired, please see additional jobs below
Data Management Lead
Investors Bancorp
Iselin, NJ, United States
Job Details - this job has expired, please see similar jobs below
Job Description
This position is responsible to Manage and Lead implementation of data quality, maintenance, lineage and controls solutions and processes. Define and implement data mapping, transaction flow tracing and integration of various classification schemas/hierarchies. Work closely with business lines and IT to define and implement golden models/entities, static quality rules, analytics and monitoring. Partner with third party services for application, database and data service development to integrate data quality and compliance solutions across all critical data flows. Define and employ best practices standards, frameworks and patterns. Lead a team of senior and junior data analysts in implementing a Data Quality framework across the Bank for all Enterprise and Reference Data. Highly technical position with strong people management skills required to lead, mentor and influence all levels of the organization including executive management. Will interface with the Executive Management team and Senior Leaders to align approach and be a decision maker on overall management of critical data used across the Enterprise.
RESPONSIBILITIES
• Manage and lead data management and team including three key functions of data quality, reporting and data operations.
• Responsible to build the organization's capability with respect to technical and business analytic skills in data management based on best practice across the team and increase awareness and skill level across broader organization. Design solution to resolve complex data issues including implementing them in a manner that improves ability to sustain data integrity.
• Design and develop a data quality framework including standards and operational analytics to measuring, monitoring and continuously improving data management, data quality and data control functions for enterprise data.
• Provide thought leadership across the data management team evolving the data management function to be fully scalable.
• Establish practices to enable acquisition of new sources to be integrated with ease.
• Drive collection and definition of business requirements related to data quality, translating those requirements into quality rules and decomposing those rules to properly place their execution in the data flow.
• Select and implement tools and processes for the collection, analysis and remediation of data quality issues that are identified by data quality rules.
• Provide solutions with innovative approaches in identifying data quality problems e.g. machine learning, neural networks, manage organization and access of the data warehouse and other databases that are used to provide Enterprise data easily available for reporting and analytics.
• Drive evolution of warehouse practices to reduce costs and improve accessibility and east of use enabling a self-serve environment for the Bank's reporting and analysis.
• Define KRIs for additional senior and executive level reporting for ongoing monitoring and performance of data quality metrics.
Requirements
• Master's Degree in IT related discipline or equivalent experience
• 8-10 years of experience working in the IT industry working in Data Management disciplines
• Experience in deploying and managing data involving mapping, lineage and reporting
• Experience with data quality and lineage tools operating on both relational and non-relational database technologies
• Experience with analytics tools and applications leveraging machine learning, neural networks or other techniques
• Experience with developing platforms based on relational and non-relational technologies:Demonstrated ability to work with different databases and platforms. (Oracle, SQL Server, Windows, etc.)
• Hadoop ecosystem and architecture
• NoSQL databases (Hbase, Neo4J, Cassandra, MongoDB)
• Distributed data processing (Apache Spark, Storm)
• Data exchange formats (JSON, XML, RDF)
• RDBMS (Oracle) development
• Thought leader with very strong communication skills, and management skills.
• Strong technical data management skills combined with the ability to lead at an enterprise level
• Demonstrated ability to explain technical solutions to a business audience and translate requirements
• Track record of innovative solutions, problem solving and implementation of solutions
• Ability to handle multiple priorities and meet aggressive deadlines
DESIRED
• CDMP (Certified Data Management Professional) or ICCP (Certified Data Professional) Certification preferred
• Agile Methodology experience
• Experience with financial software products such as FiSERV Signature, Aperio and SalesForce Financial Cloud a plus
• Experience with leading or having a key role in a transformational program
• Experience implementating and managing Data Quality tools such as Global ID, Informatica, Collibra, SAS, etc.
• Experience with interpreted development languages -- Javascript, Python