About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Datanomic Adds Two Key Appointments to Senior Management Team

Subscribe to our newsletter

Compliance screening and data management specialists, Datanomic, today announced two new key additions to its senior management team as it prepares for further global expansion. Peter Jost joins Datanomic as director of operations, and Neil Matthews has been promoted to director of pre-sales. The appointments will play an important role in managing and executing the company’s market and geographic expansion plans as Datanomic continues to buck the downturn economy.

With 2008 revenue growth of almost 200%, Datanomic is expanding in all three of its strategic lines of business: Sanctions & Politically Exposed Persons (PEP) screening; Business Improvement and Migrations; and Single View of Entity, including Customer, Product and Process.

“Increasing regulation and the efficiencies gained from a single and holistic view of data are fuelling demand for our dn:Director platform,” says Jonathan Pell, CEO of Datanomic. “We need to ensure we have the right skills in place to help manage our growth. I’m delighted to welcome Peter and Neil to our senior management team. Their expertise will ensure our customers are well supported and our growth is well managed as we continue to extend our market reach both domestically and internationally over the coming year.”

As director of operations, Jost will be responsible for maintaining the company’s high level of customer satisfaction as it continues its global expansion. He brings more than 30 years’ experience in software business applications, communications and several other high tech industries. He has held senior international operational roles in Openwave Systems, Reuters and Conoco, and successfully managed two SME companies through growth and acquisition: as head of operations at Geneva Technology (acquired by Convergys), and customer services director at SMS (acquired by MDSI), retaining both roles post acquisition.

As director of pre-sales, Matthews will manage the pre-sales function in support of Datanomic’s ambitious revenue growth plans. He spent the first 11 years of his 22 year IT career with the insurance giant AXA, where he gained experience in the complete application development lifecycle as a ‘trusted adviser’ to the business and developed specialist experience in Business Intelligence. He joined Business Objects in 1998 in a pre-sales role and quickly developed an enviable reputation for engineering win-win solutions to business challenges relating to data. He joined Datanomic in 2006 to provide pre-sales support for customers.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Date: 8 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for...

BLOG

Defensibility: The New Watchword for Data Management

George Tziahanas, VP of Compliance at Archive360. Regulated enterprises are discovering that the hardest part of scaling new technology such as AI isn’t adoption; it’s proving those technologies are properly controlled. For financial institutions in particular – including banks, asset managers, insurers, and capital markets firms – this challenge is intensified by long-standing regulatory expectations...

EVENT

TEST Event page 2

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...