About this role
Responsibilities:
We are looking for a visionary technology leader to take the charge of our AI Analytics group, a leader who makes bold moves and inspires their teams to set high standards for craftsmanship, resilience, and scale.
As the Senior Director of Engineering for AI Analytics, you will be empowered to make an impact by owning the strategic vision and technical execution for all core services. You will lead a world-class organization of engineers and managers, fostering a culture of innovation and collaboration where we win as one team. This is a pivotal role with the opportunity to influence our entire product portfolio and deliver the speed and reliability our customers depend on.
Key responsibilities
Lead a multi-disciplinary org: analytics engineers, BI developers, and data product leaders.Build scalable pipelines and data products (bronze/silver/gold patterns), ensuring data quality, lineage, and reliability.Establish governance: access controls, data classification, privacy/PII handling, audits, and compliance-ready practices.Drive an insights product mindset: stakeholder discovery, prioritization, MVPs, adoption measurement, iteration.Deliver executive-ready narratives and business reviews: concise insights, drivers, recommendations, and clear next steps.Define and track impact: adoption, decision velocity, deflection, productivity gains, risk reduction, and ROI.Work with the Data Science team on creating state of the art models.What You'll Do (Responsibilities)
Set the Analytics & Insights vision: Define the strategy, roadmap, and operating model to deliver reliable, outcome-focused insights across Product, Support, Sales, Marketing, Finance, and Operations.Build proactive intelligence: Ship systems that detect anomalies, forecast risk, and surface emerging trends—pushing insights to stakeholders proactively (not waiting for dashboards).Deliver agentic insights: Partner with AI/ML and product teams to build AI assistants/agents (e.g., an “Insights Copilot”) that answer questions, generate narratives, recommend next-best actions, and integrate into the tools teams already use.Own the modern data + insights platform: Lead the end-to-end analytics ecosystem on Databricks (Lakehouse)—including orchestration, governance, semantic layer, and BI—to maximize speed, trust, and scalability.Establish a single source of truth: Standardize KPI definitions and metric governance, ensuring consistent reporting and decision-making across teams.Scale self-serve analytics: Drive adoption through curated data products, templates, enablement programs, and strong stakeholder partnerships that reduce ad-hoc asks and increase autonomy.Close the insights-to-action loop: Build processes and tooling so insights translate into decisions and measurable impact (cost reduction, retention lift, improved SLA performance, faster resolution, revenue acceleration).Lead & Inspire: Cultivate a high-performance, inclusive culture across a multi-tiered organization of engineers and managers. Mentor the next generation of technical leaders and build a world-class team that is known for its technical excellence and execution velocity.Execute with Excellence: Master the entire development lifecycle, from strategic planning and roadmap management to deployment and operations. Champion agile and iterative development methodologies to ship exceptional products under ambitious deadlines and evolving business priorities.Drive Technical & Architectural Strategy: Act as the ultimate technical authority for the platform. Guide your teams in building large-scale, distributed cloud systems and microservices architecture, ensuring we are always adopting best practices and cutting-edge technologies.Collaborate to Win: Build powerful partnerships with leaders in Product, Operations, and GTM to ensure the platform roadmap is perfectly aligned with business needs and customer expectations. Foster a "one team" mindset to solve complex, cross-functional challenges.Champion Innovation & Quality: Foster a culture of continuous improvement, encouraging out-of-the-box thinking and the adoption of new technologies. Establish and track key performance indicators (KPIs) that measure platform health, reliability, and business impact. What You'll Bring (Qualifications)
A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.15+ years of progressive experience in software engineering, with a proven track record of at least 5 years in a senior leadership role (Director or above) managing analytics, data engineering, and business insights.Demonstrable experience building, scaling, and leading high-performing product and engineering organizations in an enterprise SaaS environment.A strong technical foundation in building and operating large-scale, distributed systems on public cloud platforms (e.g., AWS, Azure, GCP).Skills Inventory
Leadership & Talent Management:Inspirational Leadership & MentorshipTalent Acquisition & RetentionOrganizational Design & ScalingPerformance Management & Career DevelopmentTechnical & Architectural Acumen:Cloud Computing & Microservices ArchitectureLarge-Scale Distributed Systems DesignDevOps, CI/CD, and SRE PrinciplesData Security & Compliance FrameworksStrategic & Business Acumen:Long-Term Strategic Planning & Vision SettingRoadmap Development & PrioritizationBudget & Resource ManagementData-Driven Decision Making & KPI ManagementExecution & Collaboration:Agile & Iterative Development MethodologiesCross-Functional Influence & Stakeholder ManagementExceptional Communication & Interpersonal SkillsProblem-Solving & Crisis Management At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.