11 months ago
Data is critical to the success of any Data Driven Organization, and at Delta Air Lines, it is the lifeblood that drives value by providing the information to make strategic business decisions and process improvements. The Enterprise Information Management (EIM) Data Governance Architect (DGA) is responsible for working with the EIM Delivery and Development teams to develop data governance, data standardization and data design strategies. This person you will help establish, own and grow our client's practices around data intake, quality control, master data management, compliance, access and long-term growth of their integrations and reporting capabilities. Focusing on their enterprise systems and integrations, this role will provide leadership and horsepower when it comes to keeping their internal data accurate, safe and compliant. The total data landscapes involve 100's of Terabytes of active data with daily ingestion of terabytes across. Additionally, this individual will be involved with shaping and implementing an Enterprise Data Catalog.
DUTIES AND RESPONSIBILITIES:
Lead, manage and grow the Data Governance practice for our enterprise
Document, assess, influence and synthesize business requirements to develop, enable and advance data governance and stewardship capabilities
Design and own future state concept of operations through the development of business process models and data flow diagrams
Lead Data Governance efforts start-to-finish, providing both project management and product leadership guidance
Facilitate and promote usage and adoption of the data governance tools, particularly among business users
Maintain and promote key data governance deliverables/assets, including data policies, data standards and data management roles and decision frameworks
Work with Business partners to recommend data control placements and control sets
Work closely with Data Analyst, Business Architects and Data Governance to achieve DQ objectives
Collaborate with the Data Delivery technology teams and architects to define and develop DQ solutions
Interact with business and technical peers in the evaluation of emerging industry trends and technologies relevant to data management
Assist in the establishment of a community of practice - a virtual organization that meets regularly to share ideas and best practices and promote a culture where data is managed as an asset of the company
Research and experiment with emerging Data Quality Profiling technologies and tools associated to data quality, metadata, data governance
Hands-on role in defining and designing of controls and visualizations
Develop Key Performance Indicators and dashboards to measure the success of the data governance program
5-7 years' experience with data governance, data quality and standardization
An experienced Business Architect: as a result of your 5-7 years of experience, you have high empathy for business process issues arising from poor data quality, lack of controls and lack of proper oversight, and can lead discussions through critical-thinking problems toward resolution
A data pro: While you might not be able to whip up a fully-integrated data warehouse from scratch, you would be able to digest one and track along with data architects, modelers and developers, and have a solid understanding of end-to-end processes of data throughout the enterprise
A self-starter: with little guidance, you are able to get into the weeds with multiple teams at a time, continually searching for answers in all the lovely but rapid chaos
A practitioner: you seek to create a practice around Data Governance, one that will keep a long-term view in mind while being flexible to enhance and adjust along the way
A solid communicator: you can bring clarity to the complex world of data, integrations and compliance rules across teams including leadership, engineering, legal, security and process owners
A data diplomat: you can effectively push multiple teams to a common set of data definitions using your strengths in communication, negotiation, education and overall governance knowledge
In-depth knowledge of the following concepts: Master Data Management, Business Intelligence, Services Oriented Architecture, Enterprise Content Management.
Ability to think in the abstract, with the ability to understand multiple facets of complex technologies.
Experience in an application domain with an architectural understanding
Hands on Data profiling, data extraction, validations and remediation's tools.
Experience with Data Lake and data frameworks like Hadoop
Designed DQ Visualization & Dashboards and Data Steward UXs
Facilitated design sessions and user experiences walk through
Running Data Quality Assessments and reviewing results with Business and Tech teams and providing control recommendations.
Understanding of Enterprise Architecture processes for technology portfolio management and project governance, including technology selections and peer review.
HIGHLY PREFERRED SKILLS:
Experience with Data Governance/Standardization tools
Experience using Data Modeling tools, such as ERwin
Good knowledge of Data Lineage utilizing Data Cataloging toolsets
Good Knowledge of at least one Data Quality tool (Quality Stage, Informatica IDQ, Trillium)
Knowledge of ETL & BI tools (Informatica, Data stage, TIBCO, MuleSoft)
Knowledge of web services and/or Enterprise Application Integration
Teradata, Aster, Hadoop, UNIX and SQL