24 Oct
Harri
London
Job description
About Harri :
Harri is the first enterprise-ready workforce management platform built for the services vertical. The services vertical faces the greatest technological challenges that exist within the world of Human Capital Management and we believe they deserve a platform built from the ground up as a result.
We have experienced a tremendous amount of growth since our 2012 inception and we have no plans on stopping that growth anytime soon.
We are passionate about building a team of Service First-driven individuals who want to exceed the expectations of those who experience our brand.
If you’re a builder, or problem solver, and love the fast pace of a startup, it’s time to meet the Harri family.
Who you are :
As the Director of Product Management - Advanced Analytics and AI, you will own execution and evolution of our AI-driven and advanced analytics products.
This role requires a deep understanding of big data, reporting, analytics, AI technologies and product management to bridge the gap between technical development and market needs.
You will work closely with engineering, data science, sales, marketing, and customer success teams to ensure the delivery of AI and analytics solutions that provide tangible business value to our customers.
Key Responsibilities :
- Product Execution : Execute the product strategy and roadmap for advanced analytics and AI offerings, ensuring alignment with the overall product and company vision and market trends.
- Market Research : Conduct market research and competitive analysis to identify trends, opportunities, and customer pain points to inform product development.
- Customer-Centric Solutions : Work closely with customers and stakeholders to gather feedback and understand their needs,
ensuring that our AI / ML products solve real-world problems and create value
- Cross-Functional Leadership : Collaborate with engineering, data science, UX, and marketing teams to drive the development, launch, and iteration of AI-driven features and analytics capabilities.
- Product Roadmap : Own the product lifecycle from concept to launch, including defining product requirements, prioritizing features, and managing timelines for AI / analytics-related products.
- AI / ML Integration : Ensure the seamless integration of AI and machine learning models into our product suite, enhancing product capabilities and customer outcomes.
- Data-Driven Decision Making : Utilize data and analytics to inform product decisions, measure product success,
and iterate on features to meet customer needs and market demands.
- Go-To-Market Strategy : Collaborate with product-marketing, marketing, sales, and customer success teams to create go-to-market strategies for AI / analytics products, including positioning, pricing, and messaging.
- Innovation Leadership : Stay current with advancements in AI, machine learning, and analytics technologies, and apply that knowledge to drive innovation within our product portfolio.
- Team Leadership : Mentor and lead a team of product managers specialized in AI / ML, reporting and data analysts to deliver high-impact analytics and AI projects.
- Advanced Analytics : Develop and oversee the creation of advanced statistical models, machine learning algorithms, and predictive analytics to optimize labor, sales and operational performance.
- AI Implementation : Lead the development and integration of AI and machine learning solutions into our products, improving functionality and customer experience.
- Data Strategy : Collaborate with executive leadership to define data strategy, including data governance, architecture, and infrastructure, ensuring data quality and accessibility across the organization.
- Sales and Business Data Expertise : Leverage expertise in sales forecasting, point of sales (POS) data, inventory data, and business data models to enhance product offerings and meet customer needs within the service and hospitality industries.
- Vendor Management : Evaluate and manage relationships with external AI and analytics vendors to bring best-in-class tools and solutions to the organization.
Experience and Skills :
- Education : Bachelor’s degree in Computer Science, Data Science, Engineering, Business, or a related field. A Master’s degree or MBA is a plus.
- Experience : 5+ years of experience in product management, with at least 2 years in AI, machine learning, or advanced analytics-driven products.
- Technical Understanding : Strong understanding of AI, machine learning, and data analytics technologies and their applications in SaaS products.
- Product Leadership : Proven experience leading the end-to-end product development lifecycle, from ideation to launch, with a track record of successfully delivering complex AI / analytics features.
- Business Acumen : Ability to translate technical capabilities into customer value propositions and business outcomes.
- Sales and Inventory Data Experience : Deep understanding of sales forecasting models, point of sales data analysis, inventory management systems, and how these interact with business data models to drive performance in service-driven industries.
- Communication : Strong communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
- Collaboration : Experience working cross-functionally with engineering, design, data science, and sales teams in a fast-paced, Agile environment.
- Customer Focus : Deep empathy for customer needs and a passion for solving customer problems with innovative AI and data-driven solutions.
- Analytical Thinking : Strong analytical and problem-solving skills,
with a data-driven approach to decision making and product optimization.
- Leadership : Experience managing and mentoring product managers, fostering a collaborative, high-performance culture.
Preferred :
- Experience in SaaS platforms or with enterprise-grade products.
- Hands-on experience with AI / ML model deployment, natural language processing (NLP), or advanced analytics platforms.
- Experience with data visualization tools like ThoughtSpot, SisenseTableau, Power BI, or Looker.
- Knowledge in service industry products, with a focus on hospitality and related verticals.
- Experience building or managing products designed for the hospitality sector is a strong plus.
- Please note this job description is not designed to cover or contain a complete listing of activities, duties or responsibilities that are required of the employee for this position.
Duties, responsibilities and activities may change at any time.*