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Convertr Appoints Greg Jordan as Chief Product Officer Amidst AI Data Boom

Convertr, a platform specialising in governing lead and contact data, has announced the appointment of Greg Jordan as its new Chief Product Officer. This strategic hire aims to strengthen the company's product leadership as businesses increasingly demand robust data governance, particularly with the rise of AI-powered marketing.

  • Convertr has appointed Greg Jordan as Chief Product Officer to lead product strategy.
  • The move comes as businesses face growing pressure to govern data from various external sources before it enters internal systems.
  • Jordan brings 18 years of experience in B2B data, intelligence, and marketing technology.
  • His role will focus on enhancing current platform capabilities and expanding Convertr's control over contact data pre-ingestion.
  • The appointment highlights the increasing importance of data quality and compliance in the age of AI and automated workflows.

Convertr, a platform designed to govern lead and contact data before it integrates into business systems, has announced the appointment of Greg Jordan as its new Chief Product Officer. This key hire reflects the company's strategic direction as organisations grapple with increasing demands to meticulously manage how data from vendors, publishers, enrichment tools, event platforms, and AI agents enters their Customer Relationship Management (CRM) systems, marketing automation platforms, and subsequent workflows.

Convertr operates at a critical juncture in the lead data lifecycle: pre-ingestion. This means it processes data before it lands in any internal system, a unique position that few other platforms occupy. Leading brands across technology, professional services, and financial services currently utilise Convertr for their high-volume B2B programmes, which encompass lead validation at intake, publisher management, campaign operations, and billing reconciliation. Jordan's appointment is set to spearhead the next phase of this development.

Jordan brings a wealth of experience, boasting 18 years in B2B data, intelligence, and marketing technology. His extensive background spans product development, data management, engineering, operations, and commercial leadership. Prior to joining Convertr, he served as Chief Product Officer at DemandScience, where he was responsible for product, data, and engineering across a global B2B revenue intelligence and performance marketing business. His achievements there included platform consolidation, the development of proprietary data infrastructure, and the launch of key products such as Ionic, Central, and Content IQ.

In his new role, Jordan will be instrumental in shaping Convertr's product strategy and roadmap. His focus will encompass three main priorities: strengthening the platform capabilities that customers already leverage in production, expanding Convertr's role as the central control point for contact data before it enters CRMs, marketing automation platforms, and AI-enabled workflows, and building the necessary evidence layer for organisations to demonstrate robust data governance at the point of entry.

Emma Bowkett, CEO and founder of Convertr, emphasised the growing significance of the platform's position. She stated that Convertr's role as the control point for lead and contact data is more crucial now than ever before, especially as AI and regulatory pressures heighten the stakes surrounding data at intake. Jordan echoed this sentiment, highlighting that his career has been built on addressing the challenge of getting accurate, governed, and commercially useful data into the hands of the teams who depend on it.

Why this matters: The increasing reliance on AI and automated systems in business means that data quality and governance are more critical than ever, directly impacting operational efficiency and compliance for UK businesses.

What this means for you: What this means for you: For UK businesses, particularly those engaged in B2B operations, this development signifies a growing industry focus on ensuring the accuracy and compliance of customer data, which can reduce risks associated with unreliable AI and regulatory exposure.

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