Allergan Data Labs is on a mission to transform the Allergan Aesthetics beauty business at AbbVie, one of the largest pharmaceutical companies in the world. Our iconic brands include BOTOX® Cosmetic, CoolSculpting®, JUVÉDERM® and more. The medical aesthetics business is ripe for rapid growth and disruption, and we are looking to add to our high performing team to do just that.
Our team has successfully launched a new and innovative technology platform, Allē, which serves millions of consumers, tens of thousands of aesthetics providers and thousands of colleagues throughout the US. Since its launch in November 2020, Allē has delivered curated promotions, personalized experiences and had millions of consumers use it as part of their beauty journey.
We’re looking to add to our team as we prepare to launch a new array of game-changing technologies on our successfully adopted platform. If you’re interested in working within a startup-oriented environment, while having the backing of a very large company, please read on.
As 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, 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 collaborate with partners to build & integrate technologies for Data Governance and other aspects of data management
Collaborate with and guide program leadership to create, maintain, and execute program and Workstream roadmaps
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
Facilitate program meetings, Workstream meetings, stewardship forums, and various work session as needed
Provide administrative support to program leadership
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 3 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 participating in 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 3 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.
Good understanding of Master Data Management approaches & best practices
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.
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off. (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our short-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
Compensation Range (Minimum - Maximum)$83,000—$157,500 USD