Manager, Data Acquisition & Partnerships

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        "jobDescription": {
          "text": "<p>Blend 360 is partnering with a leading national telecommunications and media company to build a large-scale data intelligence platform. The platform combines first-party network, security, and media consumption signals from tens of millions of households to generate behavioral insights, audience segments, and predictive models for commercial and advertising applications.&#xa0;</p><p>A key&#xa0;component&#xa0;of this initiative is the acquisition and integration of third-party outcome data that enriches the platform’s first-party signals. This role is central to that effort—owning the strategy, sourcing, negotiation, and integration of external data assets that power propensity models, audience analytics, and data monetization use cases.&#xa0;</p><p><strong>Role Summary</strong></p><p>We are looking for a strong Data Aquisition Manager to own the end-to-end third-party data acquisition strategy for a high-profile data platform initiative. Your primary mission is to source outcome and behavioral data—purchase transactions, financial indicators, automotive, real estate, and other conversion signals—that can be matched at the household level to build propensity models and enrich audience profiles.&#xa0;</p><p>This is not a role&#xa0;about&#xa0;maintaining&#xa0;existing vendor relationships. We are looking for someone who will proactively explore the evolving data marketplace,&#xa0;identify&#xa0;emerging and non-traditional data sources, and bring a forward-thinking perspective on what outcome data is available today and what will be available tomorrow. The ideal candidate is deeply networked in the data ecosystem and has a keen eye for novel datasets that others may overlook.&#xa0;</p><ul><li><p>Develop and execute a third-party data acquisition strategy focused on outcome data that can be resolved to households for propensity modeling&#xa0;</p></li></ul><ul><li><p>Continuously scan the data marketplace landscape for both established and emerging providers of outcome-based data, including:&#xa0;</p></li></ul><ul><li><p>&#xa0;Purchase/transaction data (e.g., Affinity Solutions, Numerator, Consumer Edge, Catalina,&#xa0;Facteus)&#xa0;</p></li></ul><ul><li><p>&#xa0; Automotive data (e.g., S&amp;P Global Mobility/Polk, J.D. Power, Arity, TrueCar)&#xa0;</p></li></ul><ul><li><p>&#xa0; Real estate and mortgage data (e.g., ATTOM Data Solutions, CoreLogic,&#xa0;HouseCanary)&#xa0;</p></li></ul><ul><li><p>&#xa0; Financial and credit signals (e.g., TransUnion&#xa0;TruAudience, Experian, Equifax)&#xa0;</p></li></ul><ul><li><p>&#xa0; Retail and CPG purchase data (e.g.,&#xa0;Circana/NCS,&#xa0;NielsenIQ, SPINS)&#xa0;</p></li></ul><ul><li><p>&#xa0; Travel and hospitality spend (e.g.,&#xa0;Sojern/Adara, Amadeus)&#xa0;</p></li></ul><ul><li><p>&#xa0; Healthcare and wellness indicators (e.g.,&#xa0;PurpleLab,&#xa0;Crossix/Veeva, IQVIA)&#xa0;</p></li></ul><ul><li><p>Proactively&#xa0;identify&#xa0;non-traditional and emerging data sources beyond conventional providers, including:&#xa0;</p></li></ul><ul><li><p>&#xa0; App usage and mobile behavioral data (e.g., App Science/Sabio)&#xa0;</p></li></ul><ul><li><p>&#xa0; Connected TV and ACR viewership data (e.g., Samba TV,&#xa0;VideoAmp)&#xa0;</p></li></ul><ul><li><p>&#xa0; Location intelligence and foot traffic attribution (e.g., Foursquare, Placer.ai, Gravy Analytics)&#xa0;</p></li></ul><ul><li><p>&#xa0; IoT and smart home device signals (e.g., Plume)&#xa0;</p></li></ul><ul><li><p>&#xa0; Geospatial and point-of-interest data (e.g.,&#xa0;SafeGraph, Precisely)&#xa0;</p></li></ul><ul><li><p>Evaluate data quality, household match rates, coverage, recency, and analytical value of each potential source&#xa0;</p></li></ul><ul><li><p>Leverage Snowflake Marketplace, AWS Data Exchange,&#xa0;LiveRamp&#xa0;Data Store, and other data commerce platforms to&#xa0;identify&#xa0;data products available for rapid integration&#xa0;</p></li></ul><p><strong>Negotiation &amp; Vendor Management&#xa0;</strong></p><ul><li><p>Lead commercial negotiations with data vendors, securing analytics-only or modeling-use licensing terms&#xa0;</p></li></ul><ul><li><p>Structure data licensing agreements with&#xa0;appropriate use-case&#xa0;restrictions and compliance guardrails&#xa0;</p></li></ul><ul><li><p>Manage vendor relationships, renewal schedules, and an evaluation pipeline for ongoing procurement decisions&#xa0;</p></li></ul><ul><li><p>Track and&#xa0;optimize&#xa0;data&#xa0;acquisition spend&#xa0;across providers and use cases&#xa0;</p></li></ul><p><strong>Integration &amp; Collaboration&#xa0;</strong></p><ul><li><p>Partner with data engineering teams to define integration requirements and delivery mechanisms (S3 ingestion, Snowflake data shares, API feeds, etc.)&#xa0;</p></li></ul><ul><li><p>Coordinate with the identity resolution team to ensure third-party data can be matched to household-level identity graphs&#xa0;</p></li></ul><ul><li><p>Collaborate with data scientists on validating data utility for propensity models, embeddings, and audience segmentation&#xa0;</p></li></ul><ul><li><p>Work with product and go-to-market teams to align&#xa0;acquired&#xa0;data with commercial use cases&#xa0;</p></li></ul><p><strong>Governance &amp; Compliance&#xa0;</strong></p><ul><li><p>Ensure all data acquisitions&#xa0;comply with&#xa0;applicable privacy regulations (CCPA, state-level privacy laws) and client data governance policies&#xa0;</p></li></ul><ul><li><p>Document data provenance, licensing terms,&#xa0;permitted&#xa0;use cases, and renewal schedules for all third-party datasets&#xa0;</p></li></ul><ul><li><p>Coordinate with legal and compliance teams on contract review and data usage approvals&#xa0;</p></li></ul>",
          "title": "Job Description"
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        "qualifications": {
          "text": "<ul><li><p>3+ years of professional experience in data acquisition, data partnerships, data licensing, or a closely related role&#xa0;</p></li></ul><ul><li><p>Deep knowledge of the third-party data marketplace, including major providers, aggregators, and data exchanges across multiple verticals&#xa0;</p></li></ul><ul><li><p>Hands-on experience evaluating and&#xa0;procuring&#xa0;outcome or behavioral data (purchase transactions, auto registration, financial indicators, real estate data, etc.) for analytics or modeling use cases&#xa0;</p></li></ul><ul><li><p>Experience negotiating data licensing agreements and managing vendor relationships&#xa0;</p></li></ul><ul><li><p>Strong understanding of identity resolution, household-level data matching, and how third-party data gets linked to first-party graphs&#xa0;</p></li></ul><ul><li><p>A forward-looking mindset—demonstrated&#xa0;ability to&#xa0;identify&#xa0;and evaluate new, emerging, or non-traditional data sources beyond established providers&#xa0;</p></li></ul><ul><li><p>Familiarity with data privacy regulations (CCPA, CPRA, and emerging state-level laws) as they relate to third-party data usage&#xa0;</p></li></ul><ul><li><p>Excellent communication skills; ability to translate data marketplace concepts for both technical and business stakeholders&#xa0;</p></li><li><p>Hands-on experience with Snowflake Marketplace, including evaluating, trialing, and integrating data listings (e.g., Affinity Solutions, TransUnion&#xa0;TruIQ, Precisely, Acxiom,&#xa0;SafeGraph)&#xa0;</p></li><li><p>Experience with AWS Data Exchange,&#xa0;LiveRamp&#xa0;Data Store, or other data commerce platforms&#xa0;</p></li><li><p>Background in AdTech, media, telecom, or audience analytics industries&#xa0;</p></li><li><p>Experience working with clean room technologies (Snowflake Clean Rooms, Habu,&#xa0;InfoSum) for privacy-safe data collaboration&#xa0;</p></li><li><p>Familiarity with Snowflake architecture, data sharing, and native app capabilities&#xa0;</p></li><li><p>Understanding of propensity modeling, audience segmentation, or lookalike modeling as downstream consumers of&#xa0;acquired&#xa0;data&#xa0;</p></li><li><p>Experience working in a consulting or contractor engagement model&#xa0;</p></li></ul><p><strong>Key Deliverables</strong></p><ul><li>Third-party data landscape assessment and acquisition strategy&#xa0;</li><li><p>Vendor shortlist with evaluation scorecards covering data quality, coverage, cost, match-rate potential, and novelty&#xa0;</p></li></ul><ul><li><p>Executed data licensing agreements for priority outcome data sources&#xa0;</p></li></ul><ul><li><p>Integrated third-party datasets available in the platform’s data warehouse, matched to household-level identifiers&#xa0;</p></li></ul><ul><li><p>Ongoing vendor relationship management and spend tracking&#xa0;</p></li></ul><ul><li><p>A pipeline of emerging and non-traditional data sources under evaluation for future integration&#xa0;</p></li></ul>",
          "title": "Qualifications"
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          "title": "Company Description"
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          "text": "<p><strong>Compensation &amp; Engagement Details</strong></p><ul><li><p><em>The starting&#xa0;pay&#xa0;range for this role is $125,000 - $185,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.&#xa0;</em></p></li><li><p>Remote-first work arrangement&#xa0;</p></li><li><p>Opportunity to shape a high-visibility data platform initiative at one of the largest telecommunications companies in the US&#xa0;</p></li></ul>",
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