Sr. Product Manager, Audience & Data

Life Science Connect•Cranberry, PA

19h

About The Position

Life Science Connect (LSC) is a community-driven data-enabled media and engagement platform serving professionals across the life sciences industry. Our digital newsletters, content platforms, and reader data infrastructure exist for one purpose: to inform, connect, and support life science professionals in their work. This engaged, high-quality audience is the foundation of everything we do — and the asset that ultimately enables advertiser partnerships – which fuels our topline growth. LSC is seeking a Senior Product Manager Audience & Data to own the data asset that empowers our revenue engine. You will build a data infrastructure that fuels the collection and processing of audience data and how it fuels commercial products across our marketing and data services portfolio.

Requirements

6+ years in data product management, B2B media/publishing with direct ownership of first-party audience data assets
Deep expertise in B2B contact data: hygiene, enrichment, deduplication, and identity resolution
Experience building engagement scoring and lead readiness models that produce measurable commercial outcomes
Fluency in marketing automation and data warehousing (Snowflake preferred)
Demonstrated ability to translate audience data strategy into revenue-generating products
Experience in life sciences, healthcare, or complex B2B industries strongly preferred
Ability to work cross-functionally across editorial, sales, engineering, and product — this role defines the data model that three teams depend on

Responsibilities

Define complete reader record standards, deploy real-time email validation. Build automated re-verification workflows that keep the database commercially viable and reliable.
Own the execution of data supplementation to support commercial needs.
Build and maintain the dynamic segmentation framework used by both editorial (personalization) and sales (advertiser targeting). Define segment health metrics, audit rules quarterly, and ensure every segment maps to a commercial advertiser persona.
Manage the topic/tagging/associations catalog and dataset. Automate our data management lifecycle: how we map content to taxonomies to audience supply to demand and vice versa, in support of products across the commercial offering.
Build and maintain the composite reader score that ranks every contact by commercial value. Define engagement tiers (passive, active, deep), build score decay logic, establish lead readiness thresholds, and expose scores in Snowflake and CRM views for sales and marketing to act on.
Own the Snowflake data architecture underpinning LSC’s Engagement and Advertising products and purchase intent data services. Build and maintain ingestion pipelines from Marketo, CMS/web analytics, BI tools. Define signal weighting, content taxonomy, and the account-level activity model that makes intent scoring possible.
Collaborate on bi-directional knowledge exchange between Product/Data and Operations/Fulfillment, to create one seamless workflow.
Build the reporting infrastructure that makes LSC’s audience data credible internally and valuable externally. Monthly audience health reports, advertiser-grade audience intelligence packages, and quarterly scoring model audits.