Job Title: Retail Marketing Analytics Manager
Job Description:
Direct Hire, Full-time
100% Remote Option
Salary: $125,000 to $135,000 + 10% to 20% Bonus
Sponsorship Available
Minimum Experience: 5+ years
We are in search of an experienced data analytics professional who possesses a deep understanding of the strategies and tools required to enable our clients to manage and activate customer data within our marketing ecosystem. The ideal candidate is customer-centric, results-driven, and visionary, capable of leading and motivating cross-functional teams to design and implement data and analytics solutions that provide value and efficiency for the business.
In this capacity, you will have the responsibility of overseeing the marketing data product owners who support email, push, and CDP platforms to ensure alignment with our roadmap and value objectives. As a leader in data strategy supporting marketing systems, you will collaborate closely with the marketing teams, facilitating ongoing improvements for Journey Orchestration and Personalization Platforms, as well as assisting in the implementation of endpoint solutions. This role involves extensive cross-functional collaboration, primarily with our Global Technology team, Data & Analytics team, and other business functions, to effectively translate business needs into data and platform requirements. Your sphere of influence extends across global markets, with local marketing and analytics teams relying on your expertise. Being a subject matter authority on our data, technology, and analytics stack will be essential to provide the necessary guidance and education for the marketing teams.
This role reports directly to a Director-level position and will oversee two direct reports.
Responsibility (Day to Day):
- Take ownership of and drive the successful execution of data strategy within the marketing ecosystem to support the vision and roadmap.
- Ensure that the team’s data requirements and setup align with the broader vision for how we engage with our customers in a cross-channel context.
- Lead interactions with markets in terms of educating and supporting data and analytics tools and capabilities.
- Collaborate closely with key stakeholders within Data Analytics, Marketing, and Technology.
- Support the customer data privacy strategy, ensuring compliance, and coordinating with Customer Data Consent and Privacy DPO before data activation.
- Assist the team with backlog prioritization and grooming to maximize value for the organization.
- Provide cross-functional leadership to agile marketing squads to meet requirements (audience strategy and seasonal strategy sprints).
- Manage and develop a team of two individuals, aiding in the support and execution of the customer data strategy.
Keys to Success:
- Extensive experience with customer data and analytics products like CDP, ESPs, and Snowflake.
- Strong understanding of the CRM/identity resolution space, including expertise in advanced customer segmentation and propensity modeling techniques.
- Comfortable working in a fast-paced environment, with a willingness to make rapid decisions based on evolving customer needs and continuous prioritization.
- Inherent curiosity with a genuine desire to learn and adapt – recognizing patterns/trends and applying them in new and unfamiliar situations.
- Profound knowledge of the evolving data privacy and regulatory landscape.
- Exceptional collaboration skills, with demonstrated experience in cross-functional collaboration.
- Cultural sensitivity and prior experience working with individuals from diverse cultures and backgrounds.
- Self-driven with a talent for solving complex problems.
- Strong relationship-building skills.
Requirements:
- Bachelor’s or Master’s degree.
- 5+ years of experience in the customer data and analytics space, ideally in the retail sector.
- 5+ years of direct experience with ESPs or CDPs, with Tealium experience considered a plus.
- 2+ years of managerial experience overseeing cross-functional teams and projects.
- Proficiency in SQL, Python, or R is preferred.
