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Manager, Data Governance - Houston, United States - Tailored Brands Inc
Description
Tailored Brands, Inc.
is a leading omni-channel specialty retailer of menswear, including suits and a broad selection of business casual offerings as well as the largest provider of tuxedo rental products in the U.S.
Men's Wearhouse, Jos. A. Bank, Men's Wearhouse and Tux, and K&G Fashion.
Our Canadian stores are operated under the brand name of
Moores
in ten provinces. Our purpose is we help people love the way they look and feel for their most important moments.
We accomplish this by putting customers at the center of every decision, rallying together to achieve common goals, and striving for excellence and continuous improvement.
We help fulfill this purpose by valuing differences knowing they make us better and showing up with courage to always do the right thing.
If you want to make a difference, be part of a great team, and grow, you might be a perfect fit.
About the Job
Tailored Brands' Enterprise Data Engineering BI team is central to our data-forward strategy, driving insights into every aspect of our business, supporting stakeholders across the organization, and creating a legendary customer experience.
This leadership role will be responsible for building cross-functional relationships, educating stakeholders, and partnering with data teams to ensure governance standards and policies adhere to industry best practices and help to deliver rapid impactful benefits.
Part of this role is responsible for partnering with data analysts, data engineers, and business stakeholders to develop and manage our data governance solutions to meet the needs of the business.
The right candidate has strong domain knowledge of retail, curiosity, a growth mindset, technical expertise in BI and data management tools, and a proven track record of driving data governance best practices and processes, with hands-on experience.
This role reports to the Director of BI Platform and Data Analytics.
Tailored Brands is a high-growth, collaborative environment where people who are comfortable with ambiguity and have an investigative mindset will thrive.
What You'll Do | Key Responsibilities
Own the (BI-related) Data governance processes and tools – driving the strategic roadmap for data governance and supporting an enterprise data-driven culture.
Collaborate with data owners, stewards, information security, privacy, and technology leadership teams to establish data policies, processes, and standards including enforcement of data quality, security, and management concepts.
Partner with business leadership within the master data and business domains to build and implement the policy and process for the governance model.
Leverage a technical understanding of the enterprise data catalog to build end-user adoption, through delivering visibility, integrity, and quality of Tailored Brands data assets.
Partner with the Tailored Brands Data Privacy team to identify, build, and deploy technical and non-technical vulnerabilities to our data.
Work closely with the business stakeholders to aid in the development of a data stewardship program, establishing metadata registry responsibilities.
Develop and maintain a data catalog, a data lineage map, and a business glossary.
Work collaboratively to champion data literacy, creating, implementing and managing educational programs to deliver a data-driven culture by upskilling the organization on our self-service toolsets.
Establishing and leading Enterprise Data and Technology governing bodies/councils and supporting business data governance leaders and forums.
Deploying, monitoring, and enforcing policies/procedures that ensure data is used and maintained properly within Enterprise Data and Technology as well as the broader organization.
Hand-on experience to build reports and analytics that answer business questions, collaborating with data analysts and business stakeholders.
Harmonize key policies and guidelines (e.g. Data Quality, Data Definition, Data Creation. Data Sharing, Data Usage policies) with the processes vital to carrying out those policies, in collaboration with multi-functional partners.
Clearly communicate progress, dependencies, risks, and issues to leadership.
Collaborate with colleagues in Data Engineering to develop ongoing improvements to data quality, standardized definitions, governance, tools, and approaches.
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