DirecciónImprovado is revolutionizing the way RevOps in large enterprises access and use data. As a Series A startup based in San Francisco, with $30 million in funding and teams spread across 25 countries, we share a common goal: revolutionizing marketing technology through our collective passion. Our cutting-edge, no-code revenue data platform simplifies marketing reporting, enables informed budget decisions, and increases the ROI of marketing efforts. By centralizing data from hundreds of marketing and sales sources, we empower our clients to track cross-channel performance, calculate complex metrics, and attribute revenue to specific touch points.
About the role
As the Head of Data at Improvado, you'll hold a pivotal position, shaping our data infrastructure, strategy, and utilization. You'll lead a talented team, crafting the backbone of our data infrastructure and strategy, refining our processes, and ensuring our data remains accurate, accessible, and reliable.
This role can sit anywhere in the world, but working hours must be in a US time zone.
Responsibilities- Develop and execute a comprehensive data strategy aligned with business objectives.
- Lead the design and implementation of efficient data models, leveraging methodologies like Kimball.
- Contribute to building a roadmap, quality, and R&D processes for an AI Assistant—an AI agent capable of constructing data pipelines and analyzing data (Chain of Thoughts, RLHF, Q-Learning).
- Oversee the creation and maintenance of Data catalogs for easy accessibility and comprehension.
- Collaborate cross-functionally to ensure data quality, consistency, and integrity.
- Drive innovation by exploring new technologies, tools, and best practices in data management.
- Mentor and guide the data team, fostering a culture of continuous learning and excellence.
- Participate in the company's AI product strategy.
- Proven experience in data modeling, architecture, and management.
- Expertise in utilizing DWH modeling techniques such as Kimball, Data Vault, etc.
- Strong knowledge of Data catalogs and their business implementation.
- Hands-on experience with leading database technologies, data warehousing, and ETL processes.
- Excellent leadership and communication skills, fostering effective collaboration across teams.
- A degree in Computer Science, Data Engineering, or a related field.
- Able to work in the US time zone (PST, CST, or EST.)
- Experience in ML/AI data pipelines.
- A background in mathematics, mathematical statistics, or data science.
- Proficiency in SQL.
- Experience with marketing analytics, especially marketing attribution.
- Expertise in Churn or Customer Fit prediction.
- Experience working with Agents, RLHF, Q Learning.
- Remote-first environment
- Competitive compensation
- Stock options
- Generous PTO
- Paid holidays
- Professional development reimbursement
- Annual bonus
#li-remote
