Harnham

Programmatic jobs

What We Do

Programmatic has changed the way online display advertising works.

Through using Artificial Intelligence, Programmatic systems are able to determine what ads will run and where they'll be placed, which has resulted in a significant increase in the number of conversions.

This approach to marketing automation is only possible if you have data driven media professions, linking perfectly to our established niche for finding analytics talent. Whether it’s helping implement a company’s DMP strategy, building real-time media dashboards for 3rd parties and media partners, or providing programmatic campaign management, our Digital team are there to ensure that you attract industry leading talent.

Latest Jobs

Programmatic Specialist
Salary

US$75000 - US$85000 per year

Location

Portland, Oregon

Description

An exciting opportunity to join a fast growth, data-driven advertising agency as a SME and programmatic specialist within their digital media team.

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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.

Death of the DMP, Rise of the CDP

Death of the DMP, Rise of the CDP

The days of generically using Data in Marketing are on the decline as information gathering becomes more laser focused. Once the domain of third-party sites looking to build partnerships and boost campaign efforts, Data Management Platforms (DMPs) are making way for Customer Data Platforms (CDPs). Under the weight of data breaches, GDPR, and other security issues, technologies that center around consent are helping build consumers into campaign strategies. This is a reversal from older strategies to build data from historic data profiles at channel level.  Data is Data, So What’s the Difference? In a nutshell, DMPs act as “equalizers” – all companies have access to predefined parameters of data. CDPs are “differentiators” – each customer is unique with information driven from first-party historical and contextual data, determined along the customer’s purchase journey. Tailored customer data has now gone beyond the scope of Data Management Platforms and offers marketing insights nearly unheard of just a few years ago. Now, we can understand our customers not only from their historical, factual, and contextual data within parameters we’ve created, but we can gain an outside perspective as well.  Five Reasons CDPs are on the Rise Single, Unified StorageThey store ALL data (1st, 2nd, and 3rd) such as names, addresses, emails, etc. as well as cookie IDs and tags. This storage capacity makes it easy to aggregate everything into one place and integrate with advertising systems.They capture data at a granular level. This includes considering long-term storage and multiple storage formats without predefined parameters focused only on advertising – what we want to sell you, not what do you want to buy?They aren’t restricted to stages of the customer journey, but can pick up data anywhere along the customer lifecycle. This information can be used for look-alike modeling or can be retargeted for more effective advertising and marketing efforts.They create a holistic overview of customer behaviors opening up new opportunities for personalization. Customer First Brand Targeting Today’s advertising and marketing strategies are being re-evaluated to prioritize the customer experience. Once customer data had to fit into predefined boxes of information, now our data collection efforts are as unique as every person who visits your website, clicks a call-to-action, or visits a brick-and-mortar store. In a Nutshell… This is a crucial time in the industry and any door which will help us resolve issues and keep the customer front and center will strengthen our efforts. However, as we go deeper into what the customer likes and why we must keep our customer’s privacy safe whilst retaining an advantage over our competitors.  DMPs, once the singular domain of marketers, was used to package and repackage data to better understand customers and improve ad targeting. CDPs, on the other hand, focus on every aspect, every angle of marketing to make advertising more customer-centric and laser-focused. Ultimately, as CDPs are all inclusive, they have absorbed Data Management Platforms into their systems, helping move the industry another step forward. If you’re interested in Data & Analytics, consumer behavior, and are actively seeking an opportunity to dig in your heels and get set up for a strong career path, we may have a role for you. 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. 

Joshua Poore

Joshua Poore

11. April 2019

I, Human – Navigating Data with Analytics and AI

I, Human – Navigating Data with Analytics and AI

Big Data tomes sit on a number of business reference shelves. Machine Learning, Analytics, and Edge Computing books compete for space in our minds, on our computers, in the cloud, and on the shelf. Over the past year, we’ve talked about the Data Scientist shortage, what Web Analytics mean to businesses, how AI will work hand-in-hand with humans and, if you’re looking for a career, how to stand out from the crowd. As the year comes to a close and we look to the new year, we wonder what 2019’s trends will be. What will change exponentially? What and who is lagging and leading? And how to navigate the soon to be third stage of ubiquitous data. Data is everywhere and, in some instances, can be too much to wade through. So, in a world of juxtapositions, the next wave of trends is to make Big Data small which will ultimately utilize AI more efficiently. Biting Off More than We Can Chew Much like the idea of music in your pocket with the introduction of the iPod, the latest trend in Big Data is to make it small, bite-sized, and navigable. So, how do you make Big Data small? The tsunami of data we encounter on a daily basis is staggering and overwhelming. As data teams become unsiloed, so too, does data. As vendors, digital leaders, business executives, and data professionals come together into a centralized team, data is being streamlined into a single view within a hub. Open source sharing, collaborating, and use of enterprise data catalogs within the hub add more value to businesses and can help to drive data management strategy.  But, though education, training, and apprentice-like experiences, even the best data professionals can have trouble navigating the swathes of data they encounter each day. Enter AI. These systems are intended to cut through the data, filter the information based on algorithms it’s given and, when needed, “learn” what it needs to know to process information, and accurately share what it has discovered. From there, humans can take the information and analyze how it can be of benefit to the business and what actionable insights can, and should, be implemented. I, Human One of the more nefarious predictions of the past few years has been the fear that robots and AI would take over jobs. But, just as the dishwasher and laundry machine were developed to ease time at those chores, AI is the answer to how to increase productivity, not take over.  Though AI has the capability to handle a range of tasks, it cannot replace hands-on, human-centric tasks. In retail, for example, AI might be used to make the process of shopping and buying more streamlined while freeing up the salesclerk to offer more focused customer service. A restauranteur could create the perfect ambience setting based on data about noise level, food preferences, busy vs slow times, and in so doing develop a customer base with whom they could discuss where the food comes from, offer classes, and more. AI is intended as a partnership to humans. Assisted productivity to free up time for more creative and complex pursuits. Beyond the industry executive, 2019 is predicted to be the year AI enables IT to move past routine automation tasks and proactively streamlines processes. With the assistance of AI, people will be able to work smarter, not harder, be more effective, and more productive. If you’re interested in Big Data & Analytics, we may have a role for you. We specialize in junior and senior roles. Check out our current vacancies 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.

Matt Ver Bruggen

Matt Ver Bruggen

20. December 2018

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