Leadership Team

We are led by people with a wealth of experience in recruitment. Our teams of consultants and resourcing specialists who focus on specific skills within our chosen disciplines. Meet the team who are the driving force behind the company today.
     

Simon Clarke - Managing Partner


Simon is one of Harnham’s founding partners and is still very much involved in the day to day management of the business and very proud of the brand and its success to date.

Within his 15 years in specialist recruitment, he has consistently supplied large corporate customers and built a number of successful divisions and companies during this time; he is highly regarded as a well-respected name within the industry.
   Simon Clarke - Harnham
 
 

David Farmer - Senior Partner


David’s career has spanned 10 years in recruitment across the IT, Pharmaceutical and Data & Analytics markets, and is recognised as an expert in the analytics market. His roles have included consultancy for global brands to improve hiring processes and the development of highly successful recruitment campaigns.

As a founding partner of Harnham, David has established teams across Credit Risk and Data & Technology within the UK, alongside setting up an international team to offer the full remit of recruitment services into Germany. 
   David Farmer
 
 

Kat Heague - Partner


Kat started her recruitment career in 2003 focusing on the IT market, working her way up from graduate to a manager with responsibility for leading a team and setting up a new office. 

She joined Harnham and initially focused on developing our Marketing and Insight, and Digital Analytics recruitment offering; working with a variety of customers from SMEs right through to blue chip companies within a range of industry sectors. Kat now heads up our Major Accounts division.
   Kat Heague
 
 

Stephanie Brooks - Senior Vice President


Stephanie brings over 10 years of commercial business development success and technical recruitment expertise to Harnham. She has built three businesses from the ground up and specializes in exceptional delivery to customers across start-ups and large global organisations.

Stephanie joined in 2016 to head the USA business for Harnham Inc. and drive the rapid growth strategy for the region.
   

Stephanie Brooks Harnham

 

 

Alex Hutchings - Director


Alex has over 10 years specialist IT recruitment experience, which has seen him create, and manages large new business teams for some of the UK’s leading IT recruitment firms.

Now, as Director of Harnham’s European business. Alex has established a core team of recruitment specialists, who, together are expanding our presence across Europe. Focussing on the Benelux, Nordics and German regions. His team are all native speakers in their relative markets, with a specialism in Data & Analytics. This mix is what sets us apart from the competition!
   Alex Hutchings
 
 

Mark Bremer - Director


Mark joined Harnham in 2015 after 8 years working for one of the UK’s largest recruitment firms. With a background working across a number of industry sectors his experience has been invaluable in continuing the growth of Harnham.

With over 5 years’ experience within the Contract markets, Marks brief was to expand and develop the team to ensure we continue to offer the full remit of recruitment to our diverse client base.

   Mark Bremer
 
 

Sam Jones - Director


Since graduating from The University of Liverpool in 2008, Sam has specialised in Data & Analytics recruitment and has played a key role in building some of the UKs most successful analytics teams.

He joined Harnham in 2013 to build our Digital Analytics team, and now manages Marketing & Insight as well as Data Science. His teams recruit for clients throughout the country across many industry sectors and are widely recognised as the leading data & analytics recruitment team in the UK.

   Sam Jones
 
  

Emma Reynolds - Head of Finance


Emma qualified with Ernst & Young in 2006 and has subsequently worked as a Financial Controller in the recruitment industry in both the IT and Finance sectors, helping these businesses better understand their financial performance and plan for the future.

She joined Harnham in 2015 as Head of Finance, with responsibility for developing the finance function to support the growing needs of the business. Emma is focussed on improving reporting, processes and financial management to ensure we can continue to meet the challenges of the recruitment market and economic climate.

   Emma Reynolds
 
 

Marcus Headicar - Head of Operations


Marcus started life in the recruitment space as an IT recruitment consultant in 2005. Having relocated back to the UK in 2011 he joined Harnham as a project manager in our operations team.

Now responsible for IT, marketing, facilities and major projects, Marcus is focussed on ensuring the continual improvement of our internal and customer facing systems and processes. Looking ahead, Marcus will have his hands full as we continue our international expansion across the USA and Europe.

   
 
 

Georgina Lansdale - Head of Talent Management


George joined Harnham in 2014 and was initially tasked with setting up our Human Resources and Internal Recruitment functions. Since then, she’s completed a Masters part-time at Kings College London in Human Resources and has emigrated to our New York office.

Currently, George looks after all of Harnham’s HR globally and the Internal Recruitment for our US offices.

 

   

Georgina Howell

Salary

US$140000 - US$160000 per year

Location

Boston, Massachusetts

Description

I'm looking for team and stakeholder leaders in the Greater Boston area to join a marketing & Advertising Agency as a Director of Analytics.

Reference:

54391/JK

Expires on
Salary

US$120000 - US$160000 per year + bonus

Location

Philadelphia, Pennsylvania

Description

If you have a background in financial services, please read on! Technical experience with predictive and statistical modeling is required.

Reference:

4545/SB

Expires on
Salary

US$70000 - US$80000 per year

Location

San Francisco, California

Description

Lead the Paid Search strategy for a major client in a growing and innovative ad agency.

Reference:

54098

Expires on
Salary

US$90000 - US$110000 per year + Stock, Benefits

Location

Pittsburgh, Pennsylvania

Description

One of Pittsburgh's newest start-ups are looking to strengthen their team with an experienced deep learning engineer.

Reference:

JMFGP

Expires on
Salary

US$120000 - US$160000 per year + Stock, Benefits, Bonus

Location

Boston, Massachusetts

Description

An international giant in the autonomous robotics space are looking to strengthen their team with experienced robotics engineers in Boston.

Reference:

JMBGO

Expires on
Salary

US$100000 - US$120000 per year + Bonus, Benefits

Location

Kitchener, Ontario

Description

One of Kitchener's most exciting Robotics start-ups are looking for strong C++ Engineers

Reference:

JMACP

Expires on
Salary

US$100000 - US$125000 per year + Bonus, Benefits

Location

Kitchener, Ontario

Description

One of Kitcheners most exciting robotics company are looking to strengthen their team.

Reference:

JMAK

Expires on
Salary

US$135000 - US$150000 per year

Location

Philadelphia, Pennsylvania

Description

Do you have a strong agency background, with a diverse skills range across both technical and qualitative insights? I have a director level role for you!

Reference:

54389/JK

Expires on
Salary

US$100000 - US$135000 per year

Location

New York

Description

Ever imagined building a digital audience development team from the ground up at a world-renowned, premier lifestyle company?

Reference:

LH272901

Expires on
Salary

US$90000 - US$110000 per year

Location

Boston, Massachusetts

Description

This is an opportunity to work with c-level stakeholders and implement a brand-new digital A/B testing strategy to enhance the customer journey!

Reference:

LH20274

Expires on

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Finance 4.0 – Who Determines Credit Risk in the Fourth Industrial Age?

If you’ve applied for a credit card or loan recently, you’ll be aware of the swift response you now receive. No human can crunch the numbers and make the determination that fast, right? Although big banks are now adopting Big Data, Machine Learning, and AI into their legacy processes, startups have been disrupting the sector for a few years now. As banks and credit unions scramble to keep up, Fintech innovation is bringing together machine language, analytics, and AI to help form Big Data decisions in the industry. The forward-thinking potential of these technologies has led to some real-world uses to combat fraud, offer access to alternative data sources, and suggest real-time analysis for risk. So, Robots are Determining My Credit Risk? Well, yes and no. Often, those in the financial sector are using AI to assess Credit Risk. What once required Risk Analysts to determine manually, is now done in a matter of seconds with an early warning system developed by ING, PwC, and Google. This AI-powered system helps analysts make faster and more informed decisions about potential risk. How do they do this? Using pre-set criteria, they can gauge and analyze risk based on parameters such as whether or not a client has negative media coverage or if a share price falls below a certain percentage. If the world today is based on perception, even such items as bad reviews, negative coverage, and lower than average share prices can affect determinates. In addition, having these parameters can also help determine best practices and how businesses and individuals can be given opportunities outside the scope of big bank processes. However, as data breaches continue to mar profiles of both individuals and business, Machine Learning components offer platforms the chance to stem the tide of negativity. How Machine Learning Helps Prevent Fraud This is a simple process which requires two key measures. The first is to feed the machine not just a large amount of data, but knowing the parameters set, so the machine is fed relevant information. The second is human input which gives the machine its parameters to operate by. From there, the software will take the information, gain an understanding of the data patterns, and identify any signs of fraud. If done well, the automation process will employ solutions without sacrificing quality. Machine Learning in Determining Scorecard Models Alternative data sources offer more options not only to banks and credit unions, but also to borrowers. Using Machine Learning creates a more flexible, robust model when it comes to the type of information most useful to various borrower profiles. Having profiles prepared allows for automated scorecard updates and can generate better responsiveness and intelligence of a borrower’s risk profile. This process can be empowering for both startup and big bank tech.  The Matured State of Analytics Though humans must initially input parameters, the benefits of Machine Learning using a decision engine can dig deeper and reach farther than ever before. This type of platform can gather a variety of scenarios across the industry and can constantly analyze the information, helping inform the processes of setting credit limits, loan origination, and risk-based pricing. As an extension of a modern analytics platform, these processes fill in the gaps where other platforms may lack the data or programming required to run effectively. But, as these platforms mature, they are helping to drive innovation throughout the Fintech industry and shaking up the outdated, cumbersome processes of old for a much more streamlined efficient operation. Want to inform decisioning and work with data engineers to build validation frameworks? Are you looking to get in on the ground floor of a startup opportunity in the Fintech industry?  If so, we may have a role for you. If you’d like to learn more, check out our current vacancies or contact one of our expert consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

The California Data Goldrush

What is it that makes California a mecca for the adventurous of spirit? Is it the land which sparkles gold from the goldrush years or the shiny newness of the latest in tech? From boom to bust and the promise in the dash of its life, it holds possibility in action.  Or is it because, as other cities, states, and countries rally and evolve their own tech hubs, California has already settled in as the standard? The Golden State is the home of Data & Analytics. Want to see how high you can go or how to pull yourself up from a failed attempt at success? Look to the place it all began and learn how to make your insights actionable and your business decisions better. How? Begin with a platform. A Data Management Platform. You’ve Laid the Foundation, Now What? Rather than nuggets, blocks, or bars, Data gathering is cumulative. In this case, its divide, segment, and step back for the big picture; a Data Management Platform (DMP) is a unifying platform. In other words, raw Data is collated and changed into usable form. This is the core of Data-driven marketing. It is what helps businesses learn about their customers and helps to set the stage for the actionable insights that lead to happy customers.  The abundance of Data can be staggering. How much of what information do you need to better manage your audience information? What do you need to know beyond the basics? How far should you drill down to shape and activate the Data you’ve been gathering and analyzing? Having the right Data reach the right customer at the right time can greatly improve a company’s bottom line. In layman’s terms, with a DMP as part of your marketing strategy, you’ll get the most bang for your buck. Making Connections Omni and multi-channel sources such as online, offline, and mobile are woven into the connections of DMPs. Unstructured Data collection is a neutral way to help marketers use their audience Data in whatever manner is best for their business. Sources come from first – and third – party sources including mobile, desktop, web analytics tools, Customer Resource Management (CRM) software, point of sale, social media, as well as the basics such as demographic and historical behavioral Data. Getting Started Organization – Determine how you want to define your Data so you can understand it when considering a DMP. How will you segment the information you’ve decided to collect?Segmenting and audience building – Once you’ve decided what information you want to gather, you can use the information to build your target audience. Imagine pinpointing a location on a map, then plotting a route to get there. Insights and audience profile reports – Here’s your chance to study the information and analyze patterns, trends, and intent. Let’s find out what exactly it is your customers want, so you can give it to them.Activation – Now, take what you’ve learned and run with it. This is the implementation phase whether it’s through advertising, messaging, even up your game and add-in the Data management platform information into your Content Management System (CMS). The possibilities are endless. Focus, Focus, Focus Here is where you’ll bring everything into focus and see just how far the possibilities can take you and your business. Below are a few ideas and things to consider: Set your audience and advertising targets – Determine the parameters for your audience’s interests and needs through the channels they most often use such as content whether audio or video.Get personal - Offer personalized experiences for web and mobile users as well as those who prefer to conduct their business offline.Game, Set, Match – When it comes to TV DMP, match your audiences on both TV devices as well as digital.Learn – Learn about your customer. Take time to get to know them online and offline through every channel available. Go deeper than point of sale information. What is it they’re looking for? What do they want? Why do they want it and how do they want to buy it? Grow – Whilst it takes a lot more time and effort to find new customers than to keep current customers happy it’s still important to use that time and effort to your advantage utilizing DMP to grow and cultivate a new audience, too. Build brand loyalty through both returning and new customers. Paid search and social – use your Data-driven audiences to target or update paid search including buys on social media. Ultimately, building a DMP will help you build a better relationship with your customers. It helps you show you have their desires at heart; and a happy customer is worth their weight in gold.  Check out our current vacancies for our latest opportunities or contact one of our recruitment consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com.