This site uses cookies. To find out more, see our Cookies Policy
Skip to navigation
Skip to main content
Skip to footer

Data Warehouse Director in Columbus at Huntington

Date Posted: 3/2/2019

Job Snapshot

Job Description

Data Warehouse Director

Job Description:

Huntington Bank is looking for a data warehouse leader in our Data Technology organization. In this role you will lead a team dedicated to pushing the limits of continuous improvement and innovation using data warehousing as a lever. You will report to the Director of Data Technology, and work closely with the Chief Data & Analytics Office organization to influence the business and technology strategies for our long-term data warehousing strategy and vision for the company.

If you consider data as a strategic asset, evangelize the value of good data and insights, have deep understanding of data governance, are an experienced thought-leader in data warehousing, and love building teams and mentoring talent, this role is for you.

You will be responsible for the enterprise data warehouse program for the bank, including innovating on the platform to enable next-generation capabilities. You will participate in the definition of the strategic roadmap for data technology and be responsible for executing data warehousing initiatives. You will partner with other Data Technology organization and CDAO leads to architect and enable an effective data ecosystem, as well as key leaders in business and technology to understand and support their needs.

Your team will get support for governing, architecting, modeling, and sourcing data; they will implement the models, design and configure for security and performance, map the data flows through the warehouse, manage the data, and enable access through a data marketplace and catalog; your team will also be responsible for supporting users in getting value from the data warehouse.

Key Responsibilities:

  • Work with the Data Technology teams (PMO, Business Analyst, Data Architecture, Information Governance, Operational Data, Data Acquisition, Analytics and Infrastructure) to support and innovate on the Enterprise Data Warehouse platform
  • Provide a self-service information 'marketplace', with a business data catalog and user support; Define and implement data warehousing standards and best practices - specifically security, partitioning, performance and access; work with other teams on architectural patterns
  • Participate in demand management and planning, assessing impact and feasibility, and estimating work effort and duration; manage a portfolio of EDW projects
  • Understand and translate the technical design from the Data Architect team into implemented physical data models that meet data governance, enterprise architecture, and business requirements for data warehousing and data access layer; manage data within warehouse to ensure efficiency of platform
  • Work with infrastructure to manage EDW platforms and environments, including service-level, access, capacity and availability management
  • Work with operational data (master data) and data acquisition teams to manage EDW sources, and analytics team to manage EDW analytics down-stream systems
  • Manage and oversee the work of a team to support EDW modeling, marketplace / access, and user support

Basic Qualifications:

  • Bachelor's degree or military experience in related field (preferably computer science)
  • At least 5 years of experience as a technology manager for data warehouse teams
  • At least 7 years of hands-on experience in multi-terabyte data warehousing engineering projects
  • At least 5 years of hands-on experience in data architecture and meeting non-functional requirements
  • At least 3 years in financial services, specifically data engineering with compliance for origination, servicing and transactional data to support core banking and operational processes and analytics

Preferred Qualifications:

  • Experience with 'Big Data' architecture: Flume, Sqoop, Kafka, Spark, Hortonworks, HBase, data lakes, logical data warehouses, NO-SQL, graph databases, etc.
  • Deep understanding of enterprise data warehousing best practices for technical implementation and providing business value; Thought leadership in next-evolution modern data architectures; Best practice EDW testing and validation approaches and implementation
  • Strong organizational skills with demonstrated ability to build and manage a high-performing team, work with partners to set and meet business service level agreement levels, and plan and deliver work to expectations
  • Good communication and interpersonal skills for interacting and collaborating with developers, analysts, and business staff throughout the organization
  • Proven ability to take requirements and logical designs and translate them into physical implementation, informed by business and enterprise requirements
  • Experience with traditional data architecture: operational data stores, sourcing and staging data, data integration, master data management, dimensional/snowflake and de-normalized design, managed views, multidimensional cubes, data marts, analytical sandboxes
  • Experience with IBM InfoSphere Platforms and Tools (PDOA, DB2 InfoSphere Warehouse/DPF, IBM Integrated Analytics System, DataStage), erwin Enterprise Data Modeler/DM Workgroup, Informatica, MicroStrategy, Tableau
  • Experience with data governance and data management approaches, including data quality
  • Experience with business intelligence and advanced analytics: canned reporting, self-service insights, integrated data platforms, dashboarding, visualization, data science, machine learning
EEO/AA Employer/Minority/Female/Disability/Veteran/Sexual Orientation/Gender Identity Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Huntington does not accept solicitation from Third Party Recruiters for any position.