Senior Data Governance Practice Lead

As a Senior Data Governance Practice Lead, you will report to the Director of Data Governance, as well as continuously collaborate with key stakeholders across the business to solve the most important technical problems.

You will be responsible for collaborating with cross functional partners and leading practice and Workstream efforts by applying data governance technologies and develop processes to ensure that our data meets the highest standards for privacy, accuracy, observability, and regulatory requirements. This role requires a blend of authoritative knowledge in data governance, strong technical background and experience in data engineering & architecture, and leadership skills that will inspire collaboration among our partners.

Responsibilities

• Building upon your strong technical background and experience, you’ll lead with partners to build & integrate technologies for Data Governance and other aspects of data management

• Champion of Data Governance and guide program leadership to create, maintain, and execute program and Workstream roadmaps

• Mentor and support other Data Governance Practice Leads across Workstreams

• Monitor and manage work queues containing data related issues and stewardship activities

• Create and maintain content and communications describing program progress and capabilities

• Take ownership for achieving objectives & key results, defining the roadmap, allocating resources, and stepping-in to execute when needed to ensure success

• Develop process and procedure documentation in support of Data Governance initiatives

• Create and maintain training materials

• Present program content and progress as requested

• Contribute to positive vendor relationships for tools & technologies that achieve federated governance, quality, and observability across multiple domains

• Provide user technical support and training for Data Governance tools

• Champion program meetings, Workstream meetings, stewardship forums, and various work session as needed

• Provide administrative support to program leadership

• Be agile and aware in flexing across immediate role to assist peers with day-to-day responsibilities

• Contribute to project management services as needed

• Conduct continuing industry research and identify best practices to incorporate into the Data Governance program

• Take ownership for our data being secure, appropriately discoverable & accessible, clearly defined & classified, high quality, and traceable

• Take responsibility for personal development by seeking training, on-the-job experiences, and input from supervisor and peers

• Maintain sharp professional knowledge, and stay abreast of new tools and developments in data management, regulatory frameworks, and data technologies

Data Catalog & Glossary Workstream

• Drive the definition of enterprise metadata requirements, standards, and processes

• Facilitate the publishing and maintenance of business, technical, and operational metadata

• Design and implement automated metadata capture and publication where possible

• Develop and deploy innovative approaches to improving the organization’s data literacy

• Design and implement inventories for data sources, system interfaces, and the Stewardship Community

Data Quality & Observability Workstream

• Develop innovative approaches to implement and sustain enterprise data quality capabilities

• Design and implement a data quality business rule inventory

• Facilitate data profiling and data classification services

• Develop control structures within an enterprise environment to ensure the accuracy and quality of data across all critical applications, processes, repositories, reports, extracts, and any other data management process

• Coordinate the resolution of data quality issues with the Stewardship Community

• Publish Data Quality scorecards

Data Policies & Workflows Workstream

• Define data related decision rights & accountabilities

• Manage an enterprise data regulatory and business sensitive workgroup

• Draft and implement policies to clarify what employees, contractors, and business associates can and cannot do with data

• Create and facilitate Data Contracts work leveraging YAML files through source control and UI integration

Data Domains & Data Products Workstream

• Work with program leadership to define data domains for grouping data assets and to assign data related decision rights and accountabilities

• Work with program leadership to name domain owners and stewards

• Work with program leadership to prioritize which data domains to govern and when

Required Experience & Skills

• Solid understanding of requirements for HIPAA, GDPR, CCPA, PCI DSS, and related regulatory frameworks

• At least 5 years of experience working on a data engineering, data science & analytics, or software team dealing primarily with data, Data Governance, DataOps, data infrastructure, or similar

• Experience guiding and leading the integration & operation of multiple data governance tools such as data catalogs, access controls, MDM, provenance, and observability

• Experience having managed data in a multi-domain enterprise with data products owned by different organizations (as opposed to one monolithic data repository)

• Strong interpersonal communication skills, relationship building skills, and the ability to influence others through persuasion

• Because this role will benefit from technical experience to guide decisions:

  • BS, MS, or PhD in Computer Science, Engineering, other quantitative field

  • At least 5 years of prior experience as an individual contributor in data-related roles such as data engineer, data software engineer, data scientist/analyst, DataOps, or similar

  • Experience of data storage architectures such as relational & NoSQL databases, data warehouses, data lakes, and lakehouses

  • Experience & strong understanding of data flow architectures including microservices & APIs, ETL/ELT, streaming, messaging, etc.

  • Strong understanding of Master Data Management approaches & best practices

  • Experience creating and understanding technical artifacts (system design, data models) to a high degree of clarity

• Ability to work effectively from your remote location using modern collaborative tools running on a company-provided laptop

• Data querying skills, including SQL

Preferred Experience & Skills

• Experience setting up or contributing to governance in a data mesh environment across a large enterprise consisting of multiple domains offering data as products

• Experience in the industries of healthcare or medical technologies

• Familiarity with the principles & tools of Data Engineering, Data Science, DataOps, MLOps, and BI

• Understanding of AI and machine learning, especially with regard to how it affects governance, quality, and regulatory requirements

• Experience integrating 3rd-party data sources from marketplaces, brokers, and other sources

Our Core Values 

• Be Humble: You’re smart yet always interested in learning from others. 

• Work Transparently: You always deal in an honest, direct and transparent way. 

• Take Ownership: You embrace responsibility and find joy in having the answers. 

• Learn More: Through blog posts, newsletters, podcasts, video tutorials and meetups you regularly self-educate and improve your skill set. 

• Show Gratitude: You show appreciation and return kindness to those you work with. 

Perks 

• Competitive salary. 

• Competitive annual bonus targets. 

• 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus).  Plus additional company contribution. 

• RSU grants (Long Term Incentives) for approved roles. 

• Comprehensive medical, dental, vision and life insurance. 

• 17 paid holidays per year, including 3 floating holidays. 

• Annual Paid Time Off (PTO), with separate sick days.

• 12 weeks paid Parental Leave.

• Caregiver Leave.

• Adoption and Surrogacy Assistance Plan.

• Flexible workplace accommodations. 

• Attend AWS Re:Invent in person (Las Vegas) or virtually each year for approved roles.

• Tuition reimbursement. 

• A MacBook Pro and accompanying hardware to do great work. 

• A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more. 

• Generous discounts on SkinMedica skin care products.