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Senior Data Product Manager

3 months ago

Jackson, United States Allergan Data Labs Full time

Allergan Data Labs is a vibrant startup-minded organization with the backing of a large company. Allergan Data Labs uses data to deliver insights and build data-driven solutions for products, operations, marketing, and sales. As a Senior Product Manager reporting to the Head of Data, you will be responsible for collaborating with cross functional partners, coordinating with data teams, and applying your data & product knowledge to conceive, design, and shepherd data products through deployment. Our data products include curated datasets built by data engineers, augmented data elements developed by data scientists, as well as machine learning (ML) and AI solutions accessible through a variety of interfaces such as microservice APIs.

Responsibilities

Manage a portfolio of data products consisting of curated datasets and AI/ML solutions accessible through a variety of interfaces

Research, conceive, and document new data products through user interviews, surveys, and concept testing

Work with partners (Product Engineering, Marketing, Sales, Operations, BI, etc.) to document requirements for data products including objectives, performance, and ROI

Coordinate with software Product Managers to ensure that data products are accessible to end users through interfaces or integration into software products

Prioritize development of data products based on user feedback, technical feasibility, resources, strategic goals, and ROI

Work with Data Technical Project Managers to set development schedules, report status, and deliver products on time

Collaborate closely with Data Science & Engineering teams to ensure seamless integration of data products within our data ecosystem

Coordinate A/B testing and other approaches to quantify the performance of data products

Define & report KPIs to measure data product performance, user adoption, and ROI

Ensure that all data governance best practices are utilized, including data classification, privacy controls, performance & lineage observability, and inclusion in the data catalog

Work with the Head of Product and Head of Data to define a data product strategy that aligns with business objectives, internal capabilities, and market opportunities

Clearly present data products & informational materials at the appropriate level of detail to executives & business partners

Maintain sharp professional knowledge & skills, and stay abreast of new developments in data technologies, data science, ML, and AI

Mentor and supervise less senior staff

Required Experience & Skills

BS or MS degree

At least 3 years as a Product Manager having launched multiple software or data products

At least 2 years of experience in defining, building, and deploying data products in particular

Skilled at identifying new products, performing product discovery, user interviews, surveys, concept testing, and A/B testing

Because this role will benefit from technical knowledge to guide the management of data products:

At least 2 years of prior experience as an individual contributor in data-related roles such as data engineer, data scientist, data analyst, or data-centric software

Broad understanding of basic approaches to models and algorithms for ML, AI, and data analytics

Experience with data storage architectures such as relational databases, data warehouses, data lakes, lakehouses, and data mesh

Basic understanding of data flow architectures including microservices & APIs, ETL/ELT, and data streaming

Exceptional verbal and written communication skills, and the ability to generate compelling data visualizations

Working knowledge of agile development methodologies

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

Preferred Experience & Skills

BS or MS in Computer Science, Statistics, Mathematics, Data Science, Engineering, or other quantitative field

Experience with a data mesh environment across a large enterprise consisting of multiple domains offering data as products

Familiarity with Large Language Models (LLMs), other generative AI modalities (audio, image, video), and how they are best applied in production

Data querying skills using tools such as SQL

Knowledge of domains such as recommender systems, fraud detection, personalization, and marketing science (e.g., attribution, customer LTV, propensity, uplift models)

Familiarity with the principles & tools of Data Engineering, Data Science, AI/ML, MLOps/AIOps, and BI

Knowledge of data governance best practices, and experience with data catalogs, data observability tools, and master data management (MDM) systems

Practical experience with at least one data science framework such as CRISP-DM, TDSP, or KDD

Experience with Customer Data Platform tools such as Segment, and experience with a product analytics tool such as Mixpanel, Amplitude, or Heap

Experience in the industries of healthcare or medical technologies

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

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