Sr. Director, Product Management

About the role

This is an amazing opportunity to work on data analytics and intelligence offerings focused on the medical device and technology sector. The team consists of a team of product managers and is reporting to the General Manager.

Responsibilities

• Managing and leading the next generation of data analytics and intelligence products
• Develop and execute a strategy to transform legacy data pipeline and analysis into high-fidelity, structured and labelled datasets suitable for training proprietary AI/ML models
• Shift the product paradigm driving autonomous workflows
• Partner with commercial teams and engage directly with the market to establish frameworks for AI
• Develop AI-first products that leverage a variety of data assets to provide market intelligence and analytics that serve the evolving commercialization and in-market needs of the industry
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and direction internally and externally to drive action
• Lead the transformation of our data assets into a unified data model, ensuring that the data and derived analytics are optimized for evolving AI-driven consumption needs
• Act as an internal evangelist for AI adoption, defining new DPIs for product success rather than traditional metrics
• Set a vision and north star outcome for the portfolio or use case that you own
• Aligning with buyer and customer needs to set portfolio and product strategies
• Working backwards to identify pathways and milestones to advance the current portfolio forward
• Selling and evangelizing the vision and