Manager of Technology Strategy blending technical implementation and data analytics to deliver enhanced advertising data. Collaborating across teams for Fortune 500 business decisions.
Responsibilities
Implement and manage Sensor Tower data connections using APIs, SQL, Python, Snowflake, and orchestration tools.
Design, build, and maintain scalable data pipelines and delivery solutions tailored to client use cases.
Troubleshoot and resolve data access or delivery issues, ensuring seamless client experiences.
Assess the feasibility of new data solution requests and contribute to technical architecture design.
Analyze and interpret large, complex datasets to uncover trends and craft data-driven insights.
Leverage analytical storytelling to translate data into actionable narratives that influence strategy.
Support the creation of data visualization dashboards and custom reports to enhance client decision-making.
Act as a trusted technical and strategic advisor to key enterprise clients.
Build and nurture strong relationships with stakeholders through proactive communication and strategic guidance.
Conduct remote and in-person training sessions on Sensor Tower’s data capabilities, features, and best practices.
Partner with Sales and Customer Success teams to develop tailored data solutions that align with client goals.
Collaborate with Product and Engineering teams to refine data delivery programs and ensure reliability at scale.
Work with Sales to support business development efforts, including pre-sales technical consulting
Explore and define innovative use cases for Sensor Tower’s data assets that drive new business opportunities.
Contribute to regional strategy and decision-making, helping shape Sensor Tower’s data innovation roadmap.
Requirements
3–5 years in a technical solutions, data analytics, or consulting role within a SaaS, technology, or data-focused organization.
Strong understanding of RESTful APIs, database management systems, data pipelines, and ETL orchestration.
Advanced proficiency in Python, SQL, and Excel; experience with Snowflake, Cloud Buckets, and data visualization tools is a plus.
Proven ability to interpret and communicate data insights clearly to both technical and non-technical stakeholders.
Experience leading client meetings and presentations in both pre-sales and post-sales contexts.
Knowledge of digital advertising, app analytics, or the mobile ecosystem is a strong plus.
Attributes: Exceptional communication, presentation, and consulting skills.
Highly organized, flexible, and self-motivated with a passion for learning and innovation.
Strategic thinker who can bridge technical depth with business impact.
Collaborative team player who thrives in a fast-paced, cross-functional environment.
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