AI Solutions Architect promoting and selling cutting - edge AI software solutions for HP. Collaborating with business development to drive adoption and contribute to customer base growth.
About the role
- Technology & Data Solutions Consultant blending technical implementation and data analytics for client engagement. Collaborating to deliver enriched advertising and app data for key clients.
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.
- 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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