Data Analytics Manager

About the role

This role owns the design and execution of the technical systems that power Madhive's partner ecosystem strategy. The hire will architect and deliver the data infrastructure that turns partnership processes into automated, scalable workflows. You will act as the primary technical translator between commercial strategy and engineering execution. The role focuses on eliminating manual effort across the channel by building proactive insights and AI-assisted tooling. You will own the logic that determines partner health, opportunity, and risk across the entire ecosystem. Success is measured by how directly your technical assets drive measurable growth for external partners and internal revenue teams. You will be responsible for ensuring data quality, consistency, and reliability as foundational inputs for all partnership decisions. This position requires a deep commitment to building reusable systems rather than one-off reports.

Key facts

What you'll do

• System Integration & Automation: Translate GTM and partnership processes into working technical systems. Collaborate with Revenue Operations, Sales, and Marketing Ops to scope, prioritize, and deliver automation that reduces manual work and improves data quality.
• Insight Pipelines & Analytics: Design proactive insight pipelines by translating recurring business and partner needs into clear analytical logic, metric definitions, signal criteria, and output requirements.
• Workflow Embedding: Partner with analytics, product and revenue teams to embed analytics into workflows, dashboards that help tell the greater story.
• Data-Driven Outputs: Develop outputs that help internal and partner-facing teams prioritize effort, identify risk and t opportunity, and act with greater precision.
• AI Tooling: Apply AI- and LLM-assisted tools to improve analytical speed and quality across exploration, documentation, anomaly detection, query development, and workflow design.
• Strategic Problem Solving: Translate ambiguous commercial and partnership problems into clear analytical plans, stakeholder-aligned requirements, and measurable deliverables.
• Ecosystem Analytics: Build and maintain the metrics framework that defines partner performance, health scores, and growth signals across the Madhive platform.
• Collaboration & Enablement: Work closely with partnership managers to create analytical playbooks that standardize how insights are used in deal reviews and strategic planning.
• Quality Assurance: Implement rigorous testing and validation processes to ensure that automated insights and recommendations are accurate and actionable.
• Roadmap Ownership: Drive the technical roadmap for data products serving partners, balancing quick wins with long-term platform investments.
• Documentation & Knowledge Transfer: Create clear technical documentation that allows other teams to understand, maintain, and extend your analytical systems.
• Stakeholder Management: Communicate progress, trade-offs, and results to both technical and non-technical audiences on a regular and predictable basis.
• Experimentation Support: Enable controlled experiments by building the data infrastructure required for measuring impact across partner segments and campaigns.
• Continuous Improvement: Regularly revisit existing pipelines and dashboards to identify inefficiencies and areas for simplification or deeper insight.

Requirements

• The AI Edge: Hands-on experience building with LLMs and AI agent frameworks - you have shipped real AI-powered tools, not just experimented with them.
• Technical Toolkit: Strong proficiency in SQL and Python for building repeatable analytics; understanding of Salesforce (+ data model, APIs, reporting, and permissions) is valuable.
• GTM & Partnership Fluency: Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous, high-growth, data-intensive environments.
• Industry Context: Familiarity with advertising technology, digital media, measurement, or platform-based commercial models is highly preferred. Experience in CTV, Digital Audio and DOOH is a bonus.
• Product Mindset: Experience building repeatable analytics, signals, or insight workflows rather than relying solely on ad-hoc analysis.
• Cross-Functional Collaboration: Proven experience partnering effectively with technical teams and a broad set of internal stakeholders, including client- and partner-facing teams.
• Communication: Strong written and verbal communication - you can explain technical decisions to non-technical stakeholders and document your work clearly.
• Adaptability: Comfort working in a fast-moving environment where the roadmap evolves and ownership is broad.

Practical notes

This is a hybrid role based in either our New York City or Redwood City office. The successful candidate will be expected to work onsite at least three days per week.