The purpose of this role is to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-day communication with clients. This role supports cross-functional projects with an emphasis on Customer Marketing Data, Technology Strategy, Identity, & Analytics, providing key insights through data analysis to inform planning and initiative prioritization. The role also contributes to initiative prioritization and assists in developing roadmaps and use cases that workstreams execute. It delivers insights to support strategic and long-term planning, leveraging value-based measurement across client marketing leads to drive data-enriched activation. The Manager will develop an understanding of CX technology infrastructure and incorporate technical feasibility into planning and prioritization, assist in identifying technology challenges across workstreams, and identify opportunities for cross-solutioning within the client's ecosystem. Additionally, the role supports and contributes to the training of junior team members on how to best identify solutions driven through data, analytics, and technology, and collaborates with cross-agency SMEs to develop client- and customer-centric solutions. The position supports the creation of executive-level presentations and analyses of analytic, data, and identity solutions to support client needs and articulate incremental value, and contributes to the development of multi-phased measurement, technology, analytic, or data roadmaps for clients. The role assists in translating data and results into clear narratives for both technical and non-technical audiences across communication channels (PowerPoint, email, etc.), partners with client teams to develop use cases for activation across brand and market segment teams, and supports the Analytics Lead and Marketing partners on measurement planning for activation efforts. Finally, it collaborates cross-functionally within Merkle and client teams to drive integrated processes for the utilization of data, analytics, and technology.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed