Director of Channel Strategy and Analytics Engineering at Zendesk, leading data infrastructure for smarter marketing and sales decisions. Focused on measurable business impact and building scalable analytics systems.
Responsibilities
Lead the development of a global channel strategy, including performance analysis, channel prioritization, and investment recommendations to maximize marketing and sales ROI.
Oversee the design and implementation of analytics infrastructure, including data pipelines, integrations, and business intelligence tools that provide consistent, reliable insights into marketing performance.
Partner closely with Marketing, Sales, and Finance leaders to align analytics outputs with strategic business goals, ensuring data-driven decisions that accelerate growth.
Translate complex data into actionable insights and compelling narratives that inform executive decision-making and influence strategy.
Establish and maintain channel performance dashboards and reports that provide clarity and focus on key metrics, enabling teams to act quickly and effectively.
Foster a culture of continuous improvement and accountability across the analytics function, ensuring deliverables meet high standards of quality, simplicity, and impact.
Act as a strategic advisor to senior stakeholders, proactively identifying business challenges, opportunity areas, and actions to improve channel efficiency and pipeline growth.
Build and mentor a high-performing team of analysts and engineers focused on excellence, innovation, and learning from experimentation.
Partner with data, marketing operations, and go-to-market teams to ensure alignment on data definitions, measurement frameworks, and processes for evaluating marketing effectiveness.
Requirements
9–12 years of experience in a marketing analytics, channel strategy, or data engineering leadership role, ideally within a large-scale B2B technology organization.
Proven ability to develop and execute channel strategies that drive measurable business impact.
Hands-on experience building scalable analytics and data infrastructure, including familiarity with modern data stacks, BI tools (Tableau, Power BI, Looker), and data pipeline technologies.
Strong business acumen with the ability to connect analytics to financial and growth outcomes.
Exceptional communication and storytelling skills, with the ability to translate complex insights into clear, persuasive narratives for executive audiences.
Demonstrated success as a cross-functional leader and trusted business partner.
Experience managing and developing high-performing teams in dynamic, fast-paced environments.
Familiarity with cloud-based data platforms (Snowflake, BigQuery, Azure Data Warehouse) and modern ETL tools.
MBA or advanced degree in business analytics, engineering, data science, or a related field.
Benefits
This position may also be eligible for bonus, benefits, or related incentives
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