Manager of Data Stewardship

Manager of Data Stewardship

This job is no longer open

We’re looking for a data quality, stewardship and governance leader to join our Data Science Team as a Manager of Data Stewardship. This role is critical in our mission to leverage data as an asset by becoming a subject matter expert on our data, processes, analyses, and business infrastructure.


This is a unique opportunity to join at a time when you can shape a company’s approach to data management and data stewardship and directly see the impact of that on its growth and culture. You will grow your team from the ground up and shape the direction of the stewardship role at Mission Lane. You will drive usage of data and improve the quality of decision-making at a company that’s on the verge of becoming the household name in financial products for the 50% of Americans who are not served by traditional financial institutions.


Our Core Tech Stack Includes:
SQL / GCP / Snowflake / Alation / DBT / Python / Tableau


The impact you’ll make:

  • You’ll drive forward our mission of financial inclusion by
  • Driving the collection and maintenance of key business metadata including: data definitions, data lineage from source to target, and application model
  • Assessing current reporting infrastructure and framework; identify gaps and make recommendations for improvements
  • Drafting and leading the development of effective communications materials to support critical data management processes
  • Engage with the Mission Lane data community at large as a champion in the development of data management policies, best practices, and procedures
  • Leading the execution of data quality control refinement and definition of KPIs for data quality measurement across multiple domains
  • Performing data analysis and data mining using SQL and other tools to ensure data quality and research issues.
  • Define ownership and accountability of data assets within the organization
  • Providing advice and education in the usage and interpretation of data to the business users, including on-boarding and training new team members
  • Growing and leading a team of data stewards supporting our business

 

You’ll thrive in this role if you:

  • Make your team better on a daily basis because you are clear about goals, the team’s shared purpose, and need to execute through education, organization, and trust
  • Grow members of your team because you help them identify their strengths and weaknesses, put them in a position to succeed, and get them the training and opportunities they need
  • Provide subject matter expertise on data management and reporting processes when representing the domain in projects and meetings
  • Have 5+ years of experience developing data management and analytics reporting frameworks
  • Have 2+ years of direct management experience, including developing junior team members
  • Understand data models, data taxonomy, and a deep appreciation of data standards and data quality
  • Create business design, process, and organizational models using tools such as: Visio, Draw.io, Lucidchart, or similar tools
  • Have experience with usage of modern metadata tools (e.g., Collibra, Allation)
  • Previous experience serving in an administrative capacity for data analytics and management platforms (Data Catalog, BI tooling, etc.)
  • A basic understanding of statistics used to inform data quality control and measurement
  • An undergraduate or higher degree in a Science, Technology, Engineering, Math (STEM) or related field of study

 

You get bonus points for:

  • 2+ years of experience leveraging process management and improvement methodologies (Lean, Six Sigma, Agile)
  • 2+ years of experience delivering compelling visualizations through Tableau
  • Experience with credit bureau and/or financial services data
  • 2+ years of experience in defining data product management processes that enable domain oriented development and ownership
  • Understanding of Data Mesh best practices to enable domain driven design, development, and ownership of data “as a product”

 

This job is no longer open
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