Strategic Product Manager

4 weeks ago

London, Greater London, United Kingdom Harri Full time
About Harri

Harri is a pioneering enterprise-ready workforce management platform specifically designed for the services sector, tackling the most complex technological challenges in Human Capital Management. With over 10 years of rapid growth since its inception in 2012, Harri continues to expand its reach, driven by a passion for building a team of Service First-driven individuals who strive to exceed customer expectations.

As a builder or problem solver passionate about the fast-paced environment of a startup, you may be interested in joining the Harri family.

Director of Product Management - Advanced Analytics and AI Role

You will lead the execution and evolution of our AI-driven and advanced analytics products, requiring a deep understanding of big data, reporting, analytics, AI technologies, and product management. This position bridges the gap between technical development and market needs, working closely with engineering, data science, sales, marketing, and customer success teams to deliver AI and analytics solutions that provide tangible business value to customers.

Main Responsibilities:
  • Product Strategy Execution: Execute the product strategy and roadmap for advanced analytics and AI offerings, ensuring alignment with the overall product vision and market trends.
  • Market Research and Competitive Analysis: Conduct research to identify trends, opportunities, and customer pain points to inform product development.
  • Customer-Centric Solutions: Collaborate 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: Drive the development, launch, and iteration of AI-driven features and analytics capabilities with engineering, data science, UX, and marketing teams.
  • Product Lifecycle Management: 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 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 Development: 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.
Requirements and Qualifications
  • Education: Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related field; a Master's degree or MBA is beneficial.
  • Experience: At least 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 Qualifications
  • 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 highly desirable.

Please note that this job description is not exhaustive and duties, responsibilities, and activities are subject to change.

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