Demo

DATA GOVERNANCE MANAGER II

Banco Popular Puerto Rico
Charlotte, NC Full Time
POSTED ON 1/17/2025
AVAILABLE BEFORE 4/15/2025

Date : Oct 22, 2024

Location :

Charlotte, NC, US, 28210

Company : Popular

Workplace Type : Remote

Data Governance Manager II

AtPopular,we offer a wide variety of services and financial solutions to serve our communities in Puerto Rico, United States & Virgin Islands. As employees, we are dedicated to making our customers dreams come true by offering financial solutions in each stage of their life. Our extensive trajectory demonstrates the resiliency and determination of our employees to innovate, reach for the right solutions and strongly support the communities we serve; this is why we value their diverse skills, experiences and backgrounds.

Are you ready for a rewarding career?

Over 8,000 people in Puerto Rico, United States and Virgin Islands work at Popular.

Come and join our community!

The Opportunity

Data Modeler Manager is an integral role within the Enterprise Data & Analytics function of Popular, responsible for designing and maintaining data models that support the firm's data management and analytics objectives. This role involves actively working with data architects, data analysts, and business units to create data models that ensure data integrity, accuracy, and compliance with financial regulations. The Data Modeler plays an essential role in translating complex financial data into structured formats that can be used for analysis, reporting, and decision-making.

Your key responsibilities :

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across the Enterprise Data & Analytics function.

Specifically :

  • Lead and enhance data models that strongly support the financial firm's data management, analytics, and reporting initiatives.
  • Work with senior data architects, data analysts, and business units to understand data requirements and convert them into top-tier data models.
  • Ensure data models comply with all financial regulations, data governance policies, and industry standards.
  • Check and optimize data models for data integrity, accuracy, and consistency.
  • Lead the choice and implementation of cutting-edge data modeling tools and methodologies.
  • Thoroughly document data models, including data dictionaries, data lineage, and metadata.
  • Collaborate with the Senior Data Modeling Lead to align data models with the firm's overall data strategy.
  • Ensure the smooth integration of data models into data warehousing, reporting, and analytics solutions.
  • Give key input to data governance teams to ensure that data models align with data governance policies and standards.
  • Work with the business team to develop conceptual, logical data models, physical data model, data flows, data designs and source-to-target data mapping.

To qualify for the role, you must have :

  • Bachelors or masters degree in information management, Computer Science, Data Science, or a related field.
  • 10 years of experience in data modeling and data architecture including at least 5 years in a leadership or management role with strong understanding of data architecture and data governance principles and practices.
  • Solid experience in data warehousing, BI & Analytics and designing data products.
  • 10 years of experience in data modeling practices including conceptual, logical, physical modeling in varied data modeling patterns such as 3NF, Data Vault 2.0 and dimensional modeling, with the ability to apply these skills at both project and enterprise levels.
  • Solid experience in dimensional modeling with a proven track record of designing conformed dimensions that are applicable across various Business Units.
  • Solid experience in data modeling tools such as PowerDesigner, IBM Data Architect, Oracle Designer, or Erwin.
  • Strong Financial and Insurance industry domain knowledge.
  • Strong experience in data governance and data management and using tools such as Alation, Collibra, Informatica, Atlan, IBM IGC.
  • Strong experience working in data lake, data lake house, data warehouse, data mesh, and operational data stores.
  • Experience designing models to be leveraged for data as a product and data marketplace.
  • Proficiency in developing data designs, data mapping and data flow logic to support the implementation of data structures designed.
  • Strong experience in data governance and data management.
  • Strong experience in a metadata field of work (ontology, taxonomy, semantics, or computational linguistics).
  • Strong experience or training in using W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS).
  • Strong experience in ontology and linked data tools (Protg, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
  • High proficiency in data analysis and profiling using SQL and Python.
  • Strong experience with cloud platforms such as AWS, Azure, GCP and analytical data stores : Data Lake, Snowflake, Redshift, Hadoop.
  • High proficiency in relational databases and data structures, including structured and unstructured data formats.
  • Experience with working with data integration tools such as Informatica, Talend, CloverDX, DBT.
  • Proficiency in reporting tools such as Tableau and PowerBI.
  • Experience in technology assessment and proven ability to make recommendations to senior members of the team.
  • Strong understanding of data privacy laws and regulations including knowledge on FCRA, CRA, GLBA, Data Privacy rules in addition to CCPA and GDPR.
  • Experience collaborating with IT, Data Analytics, and Business teams, contributing to cross-functional projects and initiatives.
  • Proficiency in Agile-based development methodologies, including Scrum and Kanban for collaborating, developing, and delivering data products.
  • Excellent communication, collaboration, and problem-solving skills.
  • Proven leadership skills with experience in influencing and directing a team.
  • Strong analytical and time management skills.
  • What we look for :

    We are seeking enthusiastic and proactive leaders who have a clear vision and an unwavering commitment to remain at the forefront of data technology and science. Our ideal candidates are those who aim to foster a team spirit and collaboration and have a knack for adept management. It is essential that you showcase comprehensive technical proficiency and possess a rich understanding of the industry.

    If you have a genuine drive for helping Popular achieve the full potential of their data while working towards your own development, this role is for you!

    Important : The candidate must provide evidence of academic preparation or courses related to the job posting, if necessary.

    If you have a disability and need assistance with the application process, please contact us at asesorialaboral@popular.com. This email inbox is monitored for such types of requests only. All information you provide will be kept confidential and will be used only to the extent required to provide reasonable accommodations. Any other correspondence will not receive a response.

    As a leading financial institution in the communities we serve, we reaffirm our commitment to always offer essential financial services and solutions for our customers, including during emergency situations and / or natural disasters. Populars employees are considered essential workers, whose role is critical in the continuity of these important services even under such circumstances. By applying to this position, you acknowledge that Popular may require your services during and immediately after any such events.

    If you are a California resident, please click here to learn more about your privacy rights.

    Popular is an Equal Opportunity Employer

    Learn more about us at www.popular.com and keep updated with our latest job postings at https : / / jobs.popular.com / usa / .

    Connect with us!

    LinkedIn (http : / / www.linkedin.com / company / popularbank) | Facebook (https : / / www.facebook.com / popularbank) | Twitter (https : / / twitter.com / popularbank) | Instagram (https : / / www.instagram.com / popularbank / ) | Blog (http : / / blog.popularbank.com / )

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