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VP of Consumer Insights and Marketing Analytics

Job Title
VP of Consumer Insights and Marketing Analytics
Job ID
27686849
Work Hybrid
Yes
Location
Plymouth,  MI 48170
Other Location
48105
Description
VP of Consumer Insights and Marketing Analytics

Plymouth, MI

Competitive Comp. Package – Base + Bonus + LTI

Our History:
From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies, to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record

Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project based work.


The VP of Consumer Insights and Marketing Analytics will build competitive advantage by shaping the vision and learning agenda for the Consumer Insights, Marketing Science, and Digital Analytics teams. You will help elevate the role of Analytics & Insights as well as be the voice and visionary of the customer, ensuring customer experience and brand excellence are at the heart of decision making. We are seeking a dynamic and influential leader with expertise in driving insights, analytics, and strategy to maximize customer lifetime value plus ignite sustained growth. This is an exciting new position reporting to the Chief Analytics and Insights (A&I) Officer.

Responsibilities
  • Steer business strategies and decisions that maximize customer lifetime value
  • Develop a strategic consumer Growth Roadmap that scales user acquisition and lifecycle marketing through a multi-channel strategy of paid media, social paid/earned, community/influencer development, email marketing, CRM, etc.
  • Drive a consumer-centric culture, building a strong sense of empathy for key consumer targets, our brand, and culture, while also providing insight into the next generation consumers
  • Develop strategies and plans that leverage pricing, promotion, and mix to drive top and bottom-line growth
  • Identify opportunities for optimization along the physical and digital customer journey, unlocking ideas for a more frictionless experience and improved conversions
  • Play a pivotal role in development of effective, consumer-centric advertising and innovation ideas by raising the bar on creative excellence
  • Ensure best-in-class approaches in Consumer Insights, Digital Marketing Analytics, Customer Lifetime Value, CRM, A/B testing, and Targeting/Personalization

Knowledge, Skills and Abilities
  • Bachelor’s Degree in business, statistics, or related field. MBA preferred
  • 10-15 years of progressive experience in marketing insights, data analytics, strategy development, or related field
  • Proven track record of effectively managing change in a highly collaborative and fast-paced setting
  • Excellent verbal, written, and presentation communication skills
  • Results driven, Identifying and prioritizing activities that drive impact
  • Demonstrated effective problem-solving skills, ability to make sound strategic decisions
  • Proven experience in creating and managing budgets
  • Encourages diversity, curiosity, and novel ideas plus explores new ways of doing things
  • Effectively coaches and develops team, providing stretch opportunities plus building strong engagement and performance
  • Solid understanding of qualitative and quantitative research methodologies with a broad range of research techniques (including innovative approaches)
  • Experience with identifying and utilizing consumer segmentation, customer lifetime value, A/B testing, and marketing mix models
  • Familiarity with digital analytics tools such as Adobe Analytics, Google Analytics as well as very large data sources, best-in-class research methods and applied statistics. This includes sampling approaches, causal modeling, time series analysis, and data-mining techniques in collecting and predicting consumer sentiment, behavior, and feedback.
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