Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence.   As a Product Director in [Insert team name or sub-LOB], you lead innovation through the development of products and features that delight customers. As a leader on the team, you leverage your advanced capabilities to challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that helps inspire cross-functional teams create groundbreaking solutions that address customer needs. In this role, you will define the roadmap for new data types, with a particular focus on graph and time-series data. This role is an exciting opportunity for an expert in the field to have a significant impact on a large scale, influencing and directly enabling the firm’s AI strategy. By developing services that address these emerging needs, the successful candidate will play a crucial role in advancing the firm's capabilities in data-driven decision-making and AI innovation. 
  Job responsibilities Oversees the product roadmap, vision, development, execution, risk management, and business growth targets Leads the entire product life cycle through planning, execution, and future development by continuously adapting, developing new products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth Coaches and mentors the product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery, enabling them to effectively deliver on objectives Owns product performance and is accountable for investing in enhancements to achieve business objectives Monitors market trends, conducts competitive analysis, and identifies opportunities for product differentiation Manage and clearly communicate the product roadmap to stakeholders, ensuring alignment with organizational goals.  Evaluate and support graph databases, optimizing infrastructure for advanced techniques like Graph Neural Networks (GNNs).  Improve the discoverability of time-series data by linking attributes in the dictionary to series identifiers in a range of stores.  Partner with data science and machine learning teams across the organization to drive innovation and efficiency.  Enable and support high-priority use cases to maximize impact and value.  Serve as a source of deep expertise in graph and time-series data, guiding the organization in best practices and innovative solutions. Required qualifications, capabilities, and skills 8+ years of experience or equivalent expertise delivering products, projects, or technology applications Extensive knowledge of the product development life cycle, technical design, and data analytics Proven ability to influence the adoption of key product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management Experience driving change within organizations and managing stakeholders across multiple functions Proven expertise in working with graph representations of data and graph database technologies.  Experience handling large-scale graph and time-series datasets.  Demonstrated experience in product management roles.  Proficiency in using Generative AI tools for daily tasks.  Excellent communication skills, both written and verbal.  Strong ability to collaborate within a team and communicate effectively with stakeholders.  Eagerness to learn and adapt in a dynamic, fast-paced environment.  Preferred qualifications, capabilities, and skills Recognized thought leader within a related field Preferred background in technical fields or data science.