Lead the design, governance, and optimization of enterprise-grade AI and data platforms that enable marketing operations and journey activations across omnichannel.
Compensation
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
Responsibilities
Define and execute the marketing AI and data platform vision aligned with enterprise and marketing objectives
Lead the development of scalable, secure, and high-performance AI-driven data solutions
Partner with IT and engineering teams to embed and integrate scalable AI
Oversee the design and management of modern data architectures
Partner on architectural design and lead business requirements for enterprise-grade customer data platform
Build and run the marketing technology infrastructure for Zillow’s marketing organization, integrating with product, engineering, and vendor teams.
Compensation
In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.
Responsibilities
Build and launch landing pages and site features in the CMS
Implement and QA tags and events in Google Tag Manager
Design and build AI-powered automations and workflows
Analyze data in Amplitude, Fullstory or Databricks
Launch and analyze web experiments in Optimizely
Requirements
Bachelor's degree in a related field, or equivalent experience
Lead audience segmentation, strategy, and revenue opportunity sizing for a global technology organization, turning data insights into business recommendations.
Locations (3)
San Francisco, California, United States
New York, New York, United States
Menlo Park, California, United States
Compensation
Pay Rate: $50–$52 per hour, depending on experience.
Responsibilities
Deliver deep audience analysis, including segmentation, lifecycle and funnel analysis, growth and churn signals, and revenue and adoption attribution.
Size revenue opportunities and build the business case for which audiences to prioritize.
Define how business questions should be answered, including what to measure, the methodology to use, and which assumptions apply.
The Business Engagement Manager provide strategic leadership, technical expertise, and tactical support to maximize the value that internal data, analytics, and AI solutions can provide Georgia Power Customer (GPC) Experience (CX). The role acts as the connective tissue between internal technical teams and CX business units.
Responsibilities
Meet regularly with CX business unit teams to identify client pain points, document goals, and identify if data, analytics, AI, or technology solutions can address their needs.
Integrate large-scale analytics and AI solutions into existing GPC CX business processes.
Formulate and deliver process automation solution frameworks for identified GPC CX business processes.
Collaborate with Technology Organization, Customer Data Platform, and Data Management Hub to enable foundational data needs for analytics.
Provide strategic and tactical support to system AI and analytics initiatives and solution development.
Lead and scale Acxiom’s strategic ecosystem partnership with Salesforce, owning end‑to‑end partner strategy and go‑to‑market execution to drive high‑growth revenue.
Responsibilities
Own GTM strategy and execution across Acxiom’s Salesforce ecosystem partnership
Build and execute structured GTM plans with 90‑day stretch objectives
Lead Salesforce enablement, training sellers and solution engineers
Develop competitive positioning for Acxiom’s identity and data backbone
Build joint pipeline with Salesforce partner sales and alliance teams
Senior sales leader responsible for selling Informatica MDM and related data management solutions across Australia, focusing on pipeline generation, customer engagement, and quota attainment.
Locations (2)
Melbourne, Victoria, Australia
Sydney, New South Wales, Australia
Responsibilities
Identify and execute marketing campaigns to create new MDM pipeline
Analyze customer needs and develop business propositions
Washington D.C., District of Columbia, United States
United States
Responsibilities
Translate business strategies into engineering requirements, validating requirements with the business, engaging target users, and managing feedback through the backlog.
Pull, clean, and analyze large datasets using advanced SQL, reconciling data across sources and root-causing discrepancies before they reach reporting.
Partner with Data Scientists and Data Engineers to define business logic, data models, and pipelines, and validate what is built.
Requirements
Bachelor’s degree in a quantitative, technical, or business field, or equivalent practical experience
Own and continuously manage / prioritize the backlog of technology-enabled capability work, with a primary focus on new data ingestion and data enablement for B2C marketing campaigns ensuring clear business outcomes, requirements, acceptance criteria, and measures of success before work enters technology delivery.
Establish productive cross-enterprise relationships, maintaining open communication about capability strategy and challenges, coordinating internal resources, facilitating decisions, and setting realistic timelines.
Support development and execution of the capability roadmap, including data-source onboarding, capability enhancements, campaign enablement, technical dependencies, and operational improvements.
Gather and analyze capability KPIs, provide facts and criteria for decisions, assemble dashboard metrics, explain and quantify potential value, and partner with subject-matter experts when developing business cases.
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