Director of Omnichannel Analytics

About DecagonDecagon stands as a pioneer in the conversational AI landscape, empowering brands to craft exceptional concierge customer experiences.Our innovative technology enables leading enterprises, including Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas, to implement AI agents that facilitate personalized and enriching interactions across diverse channels such as voice, chat, email, SMS, and more.We envision a future where customer experiences are transformed from mundane support interactions to swift resolutions, engaging conversations, and meaningful relationships. Proudly backed by a consortium of world-class investors, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, we share a unified vision for innovation.As an in-office organization, we are united by a commitment to excellence and speed. Our core values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — guide our teamwork and growth.About the Role:In the role of Director of Data & Analytics, you will spearhead the establishment of a top-tier data team that drives strategic decision-making through insightful analytics. Your contributions will significantly shape how data is collected, structured, and utilized across the organization. Collaborating closely with executives, Product, Engineering, GTM, and G&A teams, you will uncover significant trends related to strategic initiatives, product analytics, and overall business performance. This unique opportunity allows you to create modern, scalable analytics systems and develop impactful data insights for a rapidly evolving team.Your Responsibilities Include:Overseeing business intelligence reporting across the organization, including the development of dashboards to monitor ongoing KPIs and performing ad-hoc analyses to explore critical questions.Collaborating with cross-functional teams to grasp business priorities and orchestrate the data pipeline necessary for delivering essential data-driven insights.Assisting in the design and tracking of OKRs, visualizing data, and analyzing performance to ultimately influence strategy and roadmaps.

About UsAt Speak, we are on a mission to revolutionize language learning.Learning a new language can transform lives, unlocking opportunities in diverse cultures and careers. With two billion individuals striving to master a language, traditional one-on-one tutoring remains out of reach for many and hasn’t evolved significantly in decades. At Speak, we are developing an AI-powered, human-like tutor that fits in your pocket, providing a conversation-first experience that encourages learners to speak, receive immediate feedback, and progress through meticulously crafted lessons. The outcome is a comprehensive journey from novice to fluent speaker across numerous languages.Since our inception in South Korea in 2019, Speak has ascended to become the leading language learning app, now catering to learners across multiple markets in over 15 languages. As one of the world’s foremost AI companies, we have secured over $150 million in venture funding from partners such as OpenAI, Accel, Founders Fund, and Khosla Ventures, with a globally distributed workforce spanning San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.In the role of Head of Data & Analytics, you will architect and lead a premier data organization that fuels product innovation, growth strategies, and data engineering initiatives at Speak. You will craft and implement a comprehensive strategy that ensures data-driven decision-making across the organization, enhancing our infrastructure, improving data accessibility, and driving tangible business results for millions of learners worldwide.

Join Oura as the Director of Data Analytics, where you will lead a dynamic team in leveraging data to drive strategic decision-making and enhance user experiences. Your expertise will be pivotal in analyzing complex datasets to extract meaningful insights that propel our innovative health and wellness solutions.In this role, you will collaborate closely with cross-functional teams, including product development and marketing, to ensure data-driven strategies align with company goals. You will also spearhead the development of best practices in data analytics, fostering a culture of data literacy across the organization.

We are seeking a visionary Director of Financial Data & Analytics to lead our data-driven initiatives at Spoton. In this role, you will be responsible for harnessing data insights to inform strategic decisions, drive operational efficiencies, and support our financial growth.Your expertise will guide the development of robust analytical frameworks and models that enhance our financial forecasting and reporting processes.

Flex is a FinTech company based in New York City, focused on transforming the rent payment experience. Flex enables renters to pay rent on a schedule that fits their financial needs, aiming to give users more control over their largest recurring expense. After emerging from a successful stealth phase, Flex is expanding its team with the support of strong investors and an engaged user base. Role Overview The Director of Analytics Engineering leads a team at the intersection of Data, Product, Engineering, and business strategy. This role shapes the analytics platform that supports data-driven decisions across Flex. The director manages and mentors analytics engineers and remains hands-on with data modeling and solution development. Collaboration with analysts, engineers, product managers, and other stakeholders is central to defining requirements and delivering data products that meet business needs. What You Will Do Develop and drive the strategic roadmap for Flex’s data modeling platform and team. Lead, mentor, and grow a team of analytics engineers. Partner with product and engineering leaders to define data requirements and guide architecture and schema design. Oversee the creation of data models that transform and present data for stakeholders. Gather business requirements, define analytics success criteria, and design data solutions. Set company-wide standards for data structure, quality, and expectations. Promote a strong data culture by shaping scalable processes, systems, and tools that support better decision-making. What You Bring At least 8 years of experience as an analytics engineer or in a similar data-focused role, with a history of delivering products at scale. Expertise in SQL and data warehouses (Snowflake preferred), with skill in writing efficient SQL queries. Experience with leading business intelligence tools such as Sigma Computing, Tableau, or Mode. Locations This position is based in New York, NY; Salt Lake City, UT; or San Francisco, CA.

Role overview Chime is seeking a Director of Product Analytics in San Francisco, CA. This leader will oversee a team of analysts and data scientists, shaping how data guides product decisions and strategy. The position focuses on understanding user behavior, improving product features, and supporting Chime’s goal to increase customer satisfaction. What you will do Lead, mentor, and develop a team of analysts and data scientists specializing in product analytics Promote data-informed decision making across the company Collaborate with cross-functional partners to use data insights for product strategy and execution Analyze user behaviors to uncover opportunities for product improvements Provide analytics that support efforts to enhance customer satisfaction Requirements Proven experience in analytics and product development Track record of leading teams in data-driven settings Strong ability to work with cross-functional groups Motivated to use data to shape product direction

Role overview Chime is hiring a Director of Product Analytics in San Francisco, CA. This position leads a team dedicated to analyzing complex data and turning findings into guidance for product direction. The team’s insights help drive innovation and shape a better experience for Chime’s users. What you will do Guide and develop a team of product analysts Turn large, detailed datasets into clear recommendations that inform product decisions Work closely with product teams to set priorities and refine strategy using data Use analysis to support decisions and keep products focused on what customers need

About UsAt Passage, we are dedicated to developing innovative technology that bridges the gap between talent and opportunity, utilizing cutting-edge advancements in AI complemented by human insight.We believe that access to opportunities should not be dictated by factors such as geography, gender, or financial status. Through our subsidiary, Passage Funding, we assist international students by offering financial support to ensure education is accessible and affordable.Our mission is clear and ambitious: by 2030, we strive to eliminate barriers that hinder exceptional individuals from obtaining the opportunities they rightfully deserve.The RoleWe are on the hunt for a Director of Data to architect and nurture the data infrastructure at Passage. This pivotal position involves crafting systems that transform our operational data into a dependable framework that the entire organization can rely on.You will wear two hats: that of a technical architect and a strategic planner. You thrive on designing data systems from scratch, taking chaotic operational data and converting it into structured platforms that facilitate improved decision-making across the organization.From your first day, you will collaborate closely with leaders from various departments including engineering, growth, credit, finance, product, and operations. You will be responsible for designing the company's data architecture, constructing pipelines and analytical models, and establishing the metrics that will steer Passage’s operations.We pride ourselves on being a lean team that values ownership and agility. There is no rigid hierarchy, and growth potential is limitless. We seek someone who is eager to develop the data brain of the company, implement best practices, and eventually assist in expanding the data team as Passage continues to scale.Key ResponsibilitiesEstablish the Data FoundationDesign and maintain the analytics layer of Passage's data platform.Construct scalable data models and transformation layers to empower analytics across the business.Define canonical metrics for the company and ensure alignment across teams.Create dashboards and analytical frameworks for leadership to assess performance and inform business decisions.Collaborate with data engineering to enhance data integrity and accessibility.

About UsPostman is the premier API platform, empowering over 45 million developers and 500,000 organizations worldwide, including 98% of the Fortune 500. We facilitate the creation of an API-first world by simplifying every aspect of the API lifecycle, enhancing collaboration, and enabling users to develop better APIs at an accelerated pace.Headquartered in San Francisco, Postman also has offices in Boston, New York, Austin, Tokyo, London, and Bangalore, our founding city. As a privately held company, we are backed by esteemed investors such as Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. To learn more, visit postman.com or connect with us on X at @getpostman.P.S: We encourage you to read The "API-First World" graphic novel to gain deeper insights into our vision at Postman.The RoleWe are looking for a dynamic and strategic Senior Marketing Analytics Leader to establish and direct a high-impact analytics function within our Revenue Marketing team.This position is focused on transforming marketing into a fully data-driven revenue generator, delivering insights on performance, pipeline contributions, ROI, and growth prospects across integrated campaigns, Account-Based Marketing (ABM), customer lifecycles, and comprehensive search strategies (SEO + SEM).The ideal candidate will possess a combination of strategic insight, technical expertise, and business savvy. They must effectively link marketing initiatives to revenue outcomes, influence executive decisions, and construct scalable reporting frameworks that catalyze actionable insights—beyond mere dashboards.This leader will oversee a compact yet impactful team (starting with 2 direct reports) and collaborate closely with Campaigns, ABM, Digital, Search, Events, Sales, and Finance teams.

Join our dynamic team at Monks as an Associate Director of Media Analytics. In this pivotal role, you will leverage your expertise in media analytics to drive strategic decisions and enhance our marketing initiatives.As a leader in the field, you'll be responsible for analyzing data trends, optimizing campaign performance, and collaborating with cross-functional teams to develop innovative strategies that align with our business objectives.

Okta is an independent identity provider focused on building secure, trusted infrastructure for both AI and human users. The Technology, Data, and Intelligence (TDI) team supports Okta’s global workforce by providing the technology and systems employees need to succeed. Role overview The Senior Director of Data Platform and Engineering leads a global group of data and analytics engineers. This leader maximizes the value of Okta’s data assets and reports to the VP of Data and Insights. The position requires a balance of deep technical expertise and the ability to engage in strategic business discussions. As a player-coach, the Senior Director builds and mentors the team, guides key initiatives, and maintains a strong data foundation. This role is central to Okta’s AI strategy. As AI becomes more integrated into Okta’s products and operations, the quality and governance of data are increasingly important. The Senior Director ensures that clean, trusted, and well-managed data supports all AI projects, shaping the platform for Okta’s ongoing growth. What you will do Lead and develop a high-performing team: Mentor, grow, and support a diverse group of data and analytics engineers. Foster a culture of excellence, collaboration, and continuous learning. Advance AI enablement: Work closely with AI Engineering teams to ensure data infrastructure and practices are ready for AI development and deployment. Define data governance standards, build quality training datasets, and develop scalable data pipelines for AI and machine learning models. Location Bellevue, Washington; Chicago, Illinois; San Francisco, California; Washington, DC

About Our TeamThe Applied team at OpenAI is dedicated to collaborating across research, engineering, product, and design disciplines to effectively deliver cutting-edge AI technology to both consumers and businesses. Our mission is to learn from real-world deployments, ensuring that the benefits of AI are distributed equitably while prioritizing responsible and safe use of this powerful technology. Here, safety takes precedence over unchecked growth.About the Role:We are on the lookout for a Senior Data Engineer to spearhead the development of our data pipelines and foundational data tables at OpenAI. These pipelines are essential for driving analyses, enhancing safety systems that inform business decisions, fostering product growth, and mitigating risks from malicious actors. If you have a passion for data and a desire to create impactful solutions, we want to hear from you! This role also offers the chance to work closely with the innovative researchers behind ChatGPT, assisting them in training new models for user delivery. As we continue to expand rapidly, we place immense value on data-driven insights, and your contributions will be crucial to our ongoing success. Join us in shaping the future of AI!Your Responsibilities Will Include:Designing, building, and maintaining our data pipelines, ensuring seamless integration of user event data into our data warehouse.Creating canonical datasets that track vital product metrics such as user growth, engagement, and revenue.Collaborating with diverse teams, including Infrastructure, Data Science, Product, Marketing, Finance, and Research, to understand their data needs and deliver effective solutions.Implementing robust, fault-tolerant systems for data ingestion and processing.Participating in architectural and engineering decisions related to data management, leveraging your extensive experience.Ensuring data security, integrity, and compliance with industry standards and company policies.You Will Excel in This Role If You:Possess 3+ years of experience as a data engineer and at least 8 years in software engineering (including data engineering).Have proficiency in at least one programming language relevant to Data Engineering, such as Python, Scala, or Java.Bring experience with distributed processing technologies and frameworks like Hadoop, Flink, and distributed storage systems (e.g., HDFS, S3).Are well-versed in ETL schedulers such as Airflow, Dagster, Prefect, or similar tools.

Join our dynamic team at Sonsoft Inc. as a Data Science and Analytics Specialist. This role involves leveraging data to drive meaningful business decisions, utilizing advanced analytical techniques to interpret complex datasets. You will collaborate with cross-functional teams to deliver insights that enhance our strategic initiatives.

Join Innovaccer Analytics as a Manager - Data Exchange and Interoperability. In this pivotal role, you will lead a talented team focused on the seamless acquisition of healthcare data from diverse provider systems and third-party platforms.Your responsibilities will include overseeing the entire lifecycle of data onboarding projects, strategic planning, and relationship management with U.S. healthcare providers and IT vendors. You will also ensure compliance and functionality through rigorous testing and validation of data connections.This position offers the flexibility of telecommuting from the U.S.

The League is seeking a strategic and dynamic Head of Analytics to lead our analytics department in San Francisco. This pivotal role involves overseeing junior analytics teams while ensuring that various departments within the business comprehend their operational health, discover growth levers, and pinpoint optimization opportunities. As the Head of Analytics, you will spearhead initiatives that enhance business performance through the utilization of existing and novel data sources and methodologies. This role requires a hands-on approach to tackle complex analytical challenges alongside Engineering, Product, and Marketing teams, often serving as the representative for both Analytics and Product Operations.Key Responsibilities:Team Development: Identify essential roles, attract talent, select candidates that align with our culture, and secure competitive hires.Team Management: Foster a capable and enthusiastic team aligned with high-impact projects. Support career growth for analysts and business intelligence engineers, ensuring they recognize their contributions and understand complex statistical concepts.Work Guidance: Direct efforts across marketing, operations, and product analytics, including LTV predictions, operational metrics, user segmentation, and AB testing best practices.Technology Leadership: Advocate for technological investments that position analytics as a strategic advantage, including business intelligence tools and unified customer data views.Cross-Departmental Collaboration: Work closely with leadership to ensure data-driven decision-making across all business units.

Join Scribd as the Vice President of Data & Analytics, where you will lead our data-driven strategies and analytics initiatives. In this pivotal role, you will be responsible for harnessing data to drive business decisions, enhance user experiences, and shape the future of our platform. Collaborate with cross-functional teams to identify data needs, develop analytical frameworks, and implement innovative solutions that propel our company forward.

Join Us in Transforming Healthcare AccessibilityAt Assort Health, we are dedicated to revolutionizing healthcare to ensure it is accessible, seamless, and efficient for everyone, anywhere, at any time. Our mission is to foster effortless connections between patients and providers through advanced AI technologies, creating a tailored experience that addresses the complexities of healthcare.As a leading patient experience platform powered by specialty-specific AI, Assort Health eliminates the frustrations of lengthy hold times and communication barriers, enabling patients to receive prompt care. Since our inception in 2023, we've successfully managed over 110 million patient interactions, significantly reducing average hold times from 11 minutes to just 1 minute. Our platform supports thousands of providers, boasting over 98% resolution rates and 99% scheduling accuracy. With an impressive 4.5/5 average patient satisfaction from over 52,000 reviews and a remarkable 20x revenue growth projected for 2025, we are rapidly expanding our impact across the healthcare industry.About the RoleWe are seeking a Founding Data Analytics Engineer to become our first dedicated data hire. In this crucial role, you will oversee all aspects of data analytics, including pipelines, dashboards, and ad-hoc analysis. Your work will directly support our Product, RevOps, Marketing, Finance, and Customer Success teams, while collaborating closely with Engineering and Operations Analysts to build a robust data infrastructure as we scale our operations.Key ResponsibilitiesDevelop and maintain analytics pipelines, data ponds, and schemas that serve as our source of truth.Monitor customer health, generate alerts, and conduct predictive analytics to assess churn risk.Label outcomes and evaluate datasets for our AI agents.Analyze agent funnel performance and prioritize initiatives in collaboration with a Conversation Designer.Create client-facing dashboards and quarterly business review reports using Omni/Looker.Set up experiments, develop new metrics, and make go/no-go decisions using Statsig.Implement ETL pipelines for third-party databases, including EHRs and CRMs.Design systems for long-term agent memory management.Ensure data quality, completeness, and uptime across all systems.And more — we welcome your ideas!

Join DoorDash's Go-To-Market Technology (GTMT) team as an Analytics Engineer, where you will harness data to fuel our rapid growth. You will create innovative solutions that streamline business processes and enhance the productivity of our GTM teams. In this role, you will dive deep into data analytics, build scalable tools, and transform insights into actionable strategies that drive business success. Collaborating with cross-functional teams, you will automate workflows, ensure data integrity, and leverage AI capabilities to elevate our data infrastructure.

Role Overview Notion Labs Inc. is hiring a Data Engineer focused on People Analytics in San Francisco, California. This position centers on building data solutions that help the company understand workforce trends and support people-focused initiatives. What You Will Do Work with teams across the company to gather requirements for people analytics projects. Design data models tailored to workforce and HR data. Develop and maintain ETL processes to ensure reliable, high-quality data pipelines for people-related analytics. Impact Your data engineering skills will help Notion gain deeper insights into workforce dynamics and contribute to improving the employee experience.