VP Campaign Optimization

New York
US$200000 - US$220000 per annum

VP Campaign Optimization - Ad-Tech

New York, NY

$200,000 - $220,000

Are you a performance driven, campaign optimization guru who wants to drive the success of a game-changing mar-tech company? Are you a natural born leader who can own delivery of delivery of performance and take it to the next stage? This revolutionary technology is seeking a VP Campaing Optimization with eCommerce or performance media experience to build out a major operation that will service all its clients.

The Company

Having received over $70MM in funding, their outcome-based marketing technology has been recognized by Forrester as the most powerful solution of its kind. It success in driving up to 20% more offline and online sales for giant names across retail, CPG, automotive and travel has been proven consistently and they're taking the industry by storm.

The Role

This critical role will oversee and own analytics and campaign insight and optimization. You will be passionate about seeing tangible results and performance from campaigns, inventing models that will drive performance and scale them. You will be a senior leader within the company, working directly with the CEO as well as communicating with all teams in the business, particularly client services and Engineering. Most importantly, you will be turning data into insights every day - this is the perfect role for an innovative puzzle solver!

In particular, you can expect to:

· Bring digital media campaign performance expertise to drive scalable success, overseeing the performance of every campaign

· Offer analytical excellence, leveraging languages like SQL, R and Python to build and invent scalable algorithms

· Oversee a team of Statistical Modelers and Campaign Optimization Specialists

· Collaborate with internal teams including data science to research optimization best practice, Client Services and engineering and product to enhance and robotize performance

Your Skills and Experience

· Working experience in performance marketing or campaign optimization

· A background in eCommerce or mar-tech will be preferred

· Experience managing small teams

· Experience using SQL, R, or Python professionally

· Comfort in liaising with the C-suite as well as other teams including data science and engineering

· You'll bring an analytical flair and entrepreneurial spirit

· Working experience in a digital analytics leadership position

SALARY AND BENEFITS

The successful candidate will secure a salary of $200,000 - $220,000 and benefits depending on experience

HOW TO APPLY

Please click 'Apply Now' above.

KEYWORDS

Ad-tech, Mar-tech, SQL, Python, Excel, performance marketing, video Insight, insights, shopper, customer, analytics, technology, campaign, Tableau, CRM, database, acquisition, retention, marketing, digital, SEM, SEO, paid search, display, dashboard, Omniture, site catalyst, web analytics, CoreMetrics, webtrends, website, Google Tag Manager, Tag Manager, Dynamic Tag Manager, HTML, CSS, Java Script, Flash, JQuery

Send similar jobs by email
LH3902
New York
US$200000 - US$220000 per annum
  1. Permanent
  2. Media Analyst & Adtech

Similar Jobs

Salary

US$134117 - US$146310 per annum

Location

Orange, California

Description

A fantastic opportunity to work cross-functionally with a high-profile enterprise client!

Salary

€30000 - €40000 per annum

Location

Paris, Île-de-France

Description

Cette société à l'esprit start-up recherche son CONSULTANT SOCIAL PAID ayant déjà géré des campagnes perf paid social.

Salary

€35000 - €40000 per annum

Location

Paris, Île-de-France

Description

Cette société media recherche son expert display (DCM) pour accomapgner une équipe de consultants juniors dans leur bon développement.

Salary

£55000 - £60000 per annum + benefits

Location

London

Description

Great senior PPC position where you will be fundamental in all technical integrations

Salary

£45000 - £50000 per annum

Location

London

Description

I am looking for a strategic Biddable Media Lead to join a reputable media agency in the heart of London!

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.

‘Tis The Season Of Data: Black Friday Is Here

‘Tis The Season Of Data: Black Friday Is Here

It’s that time of year again. Decorations are going up, the temperature is dropping daily, and the year’s biggest shopping weekend is upon us.  Black Friday and Cyber Monday may have started stateside, but they’re now a global phenomenon. This year, in the UK alone, shoppers are expended to spend £8.57 billion over the four-day weekend. But, for retailers, this mega-event means more than a cash injection. In the world of Data, insights gained from shopping and spending habits during this period can dictate their product and pricing strategies for the next twelve months.  So what is it, exactly, that we can stand to learn from the Black Friday weekend? THE GHOST OF BLACK FRIDAY PAST There are a few interesting takeaways from 2018’s Black Friday weekend that will likely impact what we see this year.  Firstly, and perhaps unsurprisingly given that it’s a few years since the event has become omnipresent, spending only increased about half as much as initially predicted. There are a number of reasons for this, but cynicism plays a central role. More and more, consumers are viewing Black Friday deals with an element of suspicion and questioning whether the discounts are as good as they’re promoted to be. This, combined with other major annual retail events, such as Amazon’s Prime Day, means that this weekend no longer has the clout it once did.  However, 2018 also saw marketers doing more to stand out against the competition. Many businesses have moved away from traditional in-your-face sales messaging and some are even limiting their Black Friday deals to subscribers and members. By taking this approach, their sales stand out from the mass market and can help maintain a level of exclusivity that could be jeopardised by excessive discounts. In addition to branding, marketers making the most of retargeting saw an even greater uplift in sale. Particularly when it came to the use of apps, those in the UK using retargeting saw a 50% larger revenue uplift than those who didn’t.  So, having reviewed last year’s Data; what should businesses be doing this year in order to stand out? GETTING BLACK FRIDAY-READY WITH DATA Businesses preparing for Black Friday need to take into account a number of considerations involving both Marketing and Pricing. For the latter, Data and Predictive Analytics play a huge role in determining what items should go on sale, and what their price should be.  Far from just being based on gut instinct or word-of-mouth, algorithms derived from Advanced Analytics inform Machine Learning models that determine what should be on sale, and for how much. These take into account not only how many of each discounted product need to be sold to produce the right ROI, but also what prices and sales should be for the rest of the year in order to make the sale financially viable.  In terms of Marketing, Deep Learning techniques can be used to accurately predict Customer Behaviour and purchases. These predictions can then reveal which customers are likely to spend the most over the weekend, and which are likely to make minimal purchases. Marketers can then, in the lead up to Black Friday, target relevant messaging to each audience whether it be “get all you Christmas shopping in our sale” or “treat yourself to a one-off item”. By carefully analysing the Data they have available and reviewing the successes and failures of their Black Friday events, businesses can generate greater customer loyalty and improve their sales year-round. If you’re looking to build out your Marketing Analytics team or take the next step in your career, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

The Harnham 2019 Data & Analytics Salary Guide Is Here

We are thrilled to announce the launch of our 2019 UK, US and European Salary Guides. With over 3,000 respondents globally, this year’s guides are our largest and most insightful yet.  Looking at your responses, it is overwhelmingly clear that the Data & Analytics industry is continuing to thrive. This has led to an incredibly active market with 77% of respondents in the UK and Europe, and 72% in the US, willing to leave their role for the right opportunity.  Salary expectations remain high, although we’re seeing that candidates often expect 2-10% more than they actually achieve when moving between roles.  Globally, we’ve also seen a change in the reasons people give for leaving a position, with a lack of career progression overtaking an uncompetitive salary as the main reason for seeking a change.   There also remains plenty of room for industry improvement when looking at gender parity; the UK market is only 25% female and this falls to 23% in the US and 21% across the rest of Europe.  In addition to our findings, the guides also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role.  You can download your copies of the UK, US and European guides here.

Recently Viewed jobs