Group Product Manager

The Opportunity

Moloco's rapidly evolving business data ecosystem, while fostering innovation, has led to a complex landscape of data intelligence solutions and data pipelines to assess performance of ad campaigns. Addressing these challenges presents an opportunity to reduce infrastructure costs and manage technical debt more effectively—unlocking greater efficiency and scalability over time. Our core product data is consumed both internally by teams such as Sales, Operations, and Engineering, and externally by our customers and agencies.

We are seeking a highly motivated and experienced Data Product Manager. This individual contributor role will be instrumental in establishing and enforcing healthy data governance practices, optimizing our data infrastructure, and ensuring our data assets are reliable, secure, and easily discoverable. In addition, you will be expected to explore and integrate advanced analytical and automation techniques like AI agents to enhance data processes and governance workflows. You will have the authority and responsibility to make critical decisions that will drive substantial cost savings and improve the overall user experience for data consumers across Moloco.

What You Will Do

You will be responsible for the full lifecycle of data production, governance, intelligence, and visualization (external and internal) strategy, working cross-functionally to drive impact:

• Define and Implement Strategy: Collect user needs and preferences for data access and usage, then design and implement standardized, approved solutions. This includes developing a clear strategy for the optimal BI stack, outlining its usage, and ensuring solutions balance infrastructure cost, tech debt, compliance, and user experience. Explore and leverage advanced analytical capabilities, including machine learning, to automate data discovery, metadata enrichment, and intelligent recommendations for data usage patterns.
• Enforce Data Policies & Access Controls: Develop and apply clear access policies (IAM) to restrict users from executing "unofficial" or inefficient data solutions, preventing unintended grants of permissions, and ensuring adherence to robust data governance protocols. Investigate advanced automation, including AI-driven solutions, to continuously monitor access logs and detect anomalous data access patterns.
• Drive Cost Optimization & Efficiency: Identify and lead initiatives to significantly reduce excessive compute and storage costs, particularly within BigQuery, by implementing data retention policies, optimizing query patterns, and promoting efficient data usage and operational efficiency. Utilize advanced analytics to identify inefficient query patterns and storage redundancies, exploring AI-driven approaches for optimization.
• Lead BI Tooling Rationalization & Governance: Spearhead efforts to standardize and govern our various BI solutions (e.g., Looker, Looker Studio, Google Sheets), implementing code-review based instance management (e.g., Terraform for Looker), and locking down external data sharing policies, aiming for consolidated tooling and a unified experience. Investigate and pilot advanced tools, including those with AI capabilities, for enhanced dashboard generation, anomaly detection in BI reports, and intelligent data insights.
• Enhance Data Quality, Consistency & Discoverability: Oversee the organization of internal data assets, enforcing asset ownership, improving the developer experience by structuring data projects and models, and standardizing key metrics and data definitions across the organization. Implement advanced data quality checks, including AI-driven approaches, for continuous monitoring, anomaly detection, and automated data cleansing to ensure high fidelity data assets.
• Standardize Training and Documentation: Create and deliver comprehensive training, documentation, and best practices to empower 800+ Molocans in creating, transforming, and sharing data responsibly on our official platforms. Develop comprehensive knowledge bases and interactive tutorials, exploring AI assistance where beneficial to scale data literacy.
• Analyze and Report: Continuously analyze data governance outcomes, including user feedback, cost savings, and adherence to established standards, reporting on progress and using insights to refine and improve official solutions. Utilize advanced analytics and AI for deeper insights into data consumption, policy adherence, and the effectiveness of governance initiatives.
• Influence Data Architecture: Partner with engineering teams to influence data storage and processing decisions, promoting the adoption of governed and cost-effective solutions. Advocate for and guide the integration of advanced analytical and automation technologies, including AI/ML, directly into our data architecture to support scalable data governance and intelligence initiatives.

What We Look For

Minimum Qualifications:

• 5+ years of experience in Product Management, with a strong focus on data platforms, data governance, business intelligence, or data analytics.
• Demonstrated understanding of data warehousing concepts, data modeling, ETL processes, and various BI/analytics tools (e.g., BigQuery, Looker, Tableau, PowerBI).
• Experience with data access control (IAM), data quality frameworks, metadata management, and data lineage.
• Proven ability to translate complex technical concepts into clear product requirements and roadmaps, leveraging exceptional analytical and problem-solving skills to drive initiatives for material cost reduction, operational efficiency, and data standardization.
• Strong communication, collaboration, and influencing skills, with the ability to build consensus and drive change across diverse stakeholders without direct authority.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Preferred Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• Experience with cloud data platforms, particularly Google Cloud Platform (GCP) services (BigQuery, Cloud Storage, etc.).
• Familiarity with infrastructure-as-code principles (e.g., Terraform) for managing BI instances.
• Understanding of data privacy regulations (e.g., GDPR, CCPA) and their implications for data governance.
• Demonstrated success in high-growth tech environments.
• Experience with product solutions leveraging advanced analytics, including AI/ML, for data governance, quality, or business intelligence.