Director leading research and detection teams at HUMAN to combat cybercrime. Overseeing KPIs and detection strategies for efficient cyber defense systems and team growth.
About the role
- 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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