Sr. Product Manager, Audience & Data

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    "url": "https://lifescienceconnect.applytojob.com/apply/jobs/details/43jpiH10i0?&",
    "heading": "Sr. Product Manager, Audience & Data",
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    "description_html": "<p><u><span style=\"line-height:107%;\"><b>About Us</b></span></u><br><span style=\"line-height:115%;\">Life Science Connect (LSC) is a community-driven data-enabled media and engagement platform serving professionals across the life sciences industry.</span><br><br><span style=\"line-height:115%;\">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.</span><br><br><u><strong>The Role</strong></u><br><span style=\"line-height:115%;\">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.</span><br><br><u><span style=\"line-height:107%;\"><b>What You'll Own</b></span></u></p><ul><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Data Quality, Validation & Enrichment</b> — Define complete reader record standards, deploy real-time email validation. Build automated re-verification workflows that keep the database commercially viable and reliable.</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Data Append & Augmentation</b> – Own the execution of data supplementation to support commercial needs. </span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Audience Segmentation Architecture</b> — 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.</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Taxonomy Management – </b>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.  </span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Engagement Scoring & Commercial Readiness</b> — 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.</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Intent Data Infrastructure</b> — 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.</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Support Circulation and Fulfillment Operations </b>– Collaborate on bi-directional knowledge exchange between Product/Data and Operations/Fulfillment, to create one seamless workflow. </span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Audience Analytics & Reporting Backend</b> — 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.</span></li></ul><div style=\"margin-bottom:11px;\"><br><strong><u>What We're Looking For</u></strong></div><ul><li style=\"margin-bottom:11px;\">6+ years in data product management, B2B media/publishing with direct ownership of first-party audience data assets</li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\">Deep expertise in B2B contact data: hygiene, enrichment, deduplication, and identity resolution</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\">Experience building engagement scoring and lead readiness models that produce measurable commercial outcomes</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\">Fluency in marketing automation and data warehousing (Snowflake preferred)</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\">Demonstrated ability to translate audience data strategy into revenue-generating products</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\">Experience in life sciences, healthcare, or complex B2B industries strongly preferred</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\">Ability to work cross-functionally across editorial, sales, engineering, and product — this role defines the data model that three teams depend on</span></li></ul><p><br><span style=\"line-height:107%;\"><b><u>Why Join Us</u>?</b></span><br><span style=\"line-height:107%;\">• Mission-driven organization</span><br><span style=\"line-height:107%;\">• Competitive compensation and benefits</span></p><p><br><u><strong>We Invest in YOU </strong></u><br>At Life Science Connect, our commitment to empowering innovation and facilitating growth within the life sciences sector extends to our employees. We offer a comprehensive total compensation program designed to support your overall health, financial well-being, and professional development. </p><p>In addition to a competitive salary, you'll enjoy: </p><ul><li><p>Medical/vision/prescription/dental coverage for you and your family </p></li></ul><ul><li><p>100% company-paid short- and long-term disability insurance </p></li></ul><ul><li><p>100% company-paid life insurance </p></li></ul><ul><li><p>401(k) with dollar-for-dollar company match up to 6% </p></li></ul><ul><li><p>15 vacation days and 6 personal days on day 1 </p></li></ul><ul><li><p>13 company-paid holidays </p></li></ul><p><br><strong><span style=\"line-height:115%;\">We do not offer visa sponsorship for this role.</span></strong></p><span style=\"display:none;\"> </span><img alt=\"\" height=\"1\" src=\"https://assets.jazz.co/customers/customer_20240423002857_J6IUDZ1MPNPTLNMU/layout/20251124164500-image-20251124114459-1.png\" width=\"1\">To view all our job postings, visit: <a href=\"https://lifescienceconnect.com/careers/\" target=\"_blank\">lifescienceconnect.com/careers/</a> <br> ",
    "description_text": "About Us\n Life Science Connect (LSC) is a community-driven data-enabled media and engagement platform serving professionals across the life sciences industry.\n 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.\n The Role\n 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.\n What You'll Own\n Data Quality, Validation & Enrichment — Define complete reader record standards, deploy real-time email validation. Build automated re-verification workflows that keep the database commercially viable and reliable.\n Data Append & Augmentation – Own the execution of data supplementation to support commercial needs.\n Audience Segmentation Architecture — 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.\n Taxonomy Management – 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.\n Engagement Scoring & Commercial Readiness — 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.\n Intent Data Infrastructure — 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.\n Support Circulation and Fulfillment Operations – Collaborate on bi-directional knowledge exchange between Product/Data and Operations/Fulfillment, to create one seamless workflow.\n Audience Analytics & Reporting Backend — 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.\n What We're Looking For\n 6+ years in data product management, B2B media/publishing with direct ownership of first-party audience data assets\n Deep expertise in B2B contact data: hygiene, enrichment, deduplication, and identity resolution\n Experience building engagement scoring and lead readiness models that produce measurable commercial outcomes\n Fluency in marketing automation and data warehousing (Snowflake preferred)\n Demonstrated ability to translate audience data strategy into revenue-generating products\n Experience in life sciences, healthcare, or complex B2B industries strongly preferred\n Ability to work cross-functionally across editorial, sales, engineering, and product — this role defines the data model that three teams depend on\n Why Join Us ?\n • Mission-driven organization\n • Competitive compensation and benefits\n We Invest in YOU\nAt Life Science Connect, our commitment to empowering innovation and facilitating growth within the life sciences sector extends to our employees. We offer a comprehensive total compensation program designed to support your overall health, financial well-being, and professional development.\n In addition to a competitive salary, you'll enjoy:\n Medical/vision/prescription/dental coverage for you and your family\n 100% company-paid short- and long-term disability insurance\n 100% company-paid life insurance\n 401(k) with dollar-for-dollar company match up to 6%\n 15 vacation days and 6 personal days on day 1\n 13 company-paid holidays\n We do not offer visa sponsorship for this role.\n   To view all our job postings, visit: lifescienceconnect.com/careers/",
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      "description": "<p><u><span style=\"line-height:107%;\"><b>About Us</b></span></u><br><span style=\"line-height:115%;\">Life Science Connect (LSC) is a community-driven data-enabled media and engagement platform serving professionals across the life sciences industry.</span><br><br><span style=\"line-height:115%;\">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.</span><br><br><u><strong>The Role</strong></u><br><span style=\"line-height:115%;\">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.</span><br><br><u><span style=\"line-height:107%;\"><b>What You'll Own</b></span></u></p><ul><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Data Quality, Validation & Enrichment</b> — Define complete reader record standards, deploy real-time email validation. Build automated re-verification workflows that keep the database commercially viable and reliable.</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Data Append & Augmentation</b> – Own the execution of data supplementation to support commercial needs. </span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Audience Segmentation Architecture</b> — 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.</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Taxonomy Management – </b>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.  </span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Engagement Scoring & Commercial Readiness</b> — 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.</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Intent Data Infrastructure</b> — 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.</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Support Circulation and Fulfillment Operations </b>– Collaborate on bi-directional knowledge exchange between Product/Data and Operations/Fulfillment, to create one seamless workflow. </span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\"><b>Audience Analytics & Reporting Backend</b> — 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.</span></li></ul><div style=\"margin-bottom:11px;\"><br><strong><u>What We're Looking For</u></strong></div><ul><li style=\"margin-bottom:11px;\">6+ years in data product management, B2B media/publishing with direct ownership of first-party audience data assets</li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\">Deep expertise in B2B contact data: hygiene, enrichment, deduplication, and identity resolution</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\">Experience building engagement scoring and lead readiness models that produce measurable commercial outcomes</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\">Fluency in marketing automation and data warehousing (Snowflake preferred)</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\">Demonstrated ability to translate audience data strategy into revenue-generating products</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\">Experience in life sciences, healthcare, or complex B2B industries strongly preferred</span></li><li style=\"margin-bottom:11px;\"><span style=\"line-height:115%;\">Ability to work cross-functionally across editorial, sales, engineering, and product — this role defines the data model that three teams depend on</span></li></ul><p><br><span style=\"line-height:107%;\"><b><u>Why Join Us</u>?</b></span><br><span style=\"line-height:107%;\">• Mission-driven organization</span><br><span style=\"line-height:107%;\">• Competitive compensation and benefits</span></p><p><br><u><strong>We Invest in YOU </strong></u><br>At Life Science Connect, our commitment to empowering innovation and facilitating growth within the life sciences sector extends to our employees. We offer a comprehensive total compensation program designed to support your overall health, financial well-being, and professional development. </p><p>In addition to a competitive salary, you'll enjoy: </p><ul><li><p>Medical/vision/prescription/dental coverage for you and your family </p></li></ul><ul><li><p>100% company-paid short- and long-term disability insurance </p></li></ul><ul><li><p>100% company-paid life insurance </p></li></ul><ul><li><p>401(k) with dollar-for-dollar company match up to 6% </p></li></ul><ul><li><p>15 vacation days and 6 personal days on day 1 </p></li></ul><ul><li><p>13 company-paid holidays </p></li></ul><p><br><strong><span style=\"line-height:115%;\">We do not offer visa sponsorship for this role.</span></strong></p><span style=\"display:none;\"> </span><img alt=\"\" height=\"1\" src=\"https://assets.jazz.co/customers/customer_20240423002857_J6IUDZ1MPNPTLNMU/layout/20251124164500-image-20251124114459-1.png\" width=\"1\">To view all our job postings, visit: <a href=\"https://lifescienceconnect.com/careers/\" target=\"_blank\">lifescienceconnect.com/careers/</a> <br> ",
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