Director US AI/GenAI Products & Innovation Labs

Job Description Summary

The US&I Data Analytics, Data Science & AI team is collaborating closely with the US Insights & Decision Sciences group to bring insights and innovative ideas that empower smarter, data-driven decision-making. Reporting to the VP of DDIT, the Director of Analytics Products & ILab plays a pivotal role in identifying and incubating cutting-edge AI technologies that align with the company's strategic goals, thereby enhancing our capabilities in data-driven decision-making.

 

Job Description

Major accountabilities:

• Partner with business leadership and other key stakeholders to set the US Advanced Analytics technology roadmap, ensuring that individual products work together to create significant business value for the defined customer.
• Hold end-to-end accountability for services and product delivery across US Advanced Analytics & ILab business areas.
• Serve as the point of escalation, review, and approval for key technical issues and decisions.
• Drive and facilitate the approval of US Advanced Analytics & ILab product portfolio investment plans.
• Work on continuous improvement with the cross-functional delivery team.
• Exhibit a strategic product management mindset necessary to establish the US Advanced Analytics & ILab product domain with respective business product owner counterparts.
• Act as a trusted advisor, driving decisions, priorities, and relevant US Advanced Analytics & ILab product information with both business stakeholders and colleagues across DD&IT.
• Proactively share knowledge of US Advanced Analytics & ILab technology risks with the business.
• Ensure coordination across US Advanced Analytics & ILab product roadmaps, oversee timelines and budgets across teams, and ensure that blockages impacting the US ILab product portfolio are removed (coordination and unblocking within a product remains the responsibility of the respective product owner).
• Develop an environment that fosters a collaborative, innovative, and high-performing organization where product management is leveraged to create value for the business.
• Advocate for product management and shape the operating model to ensure business value creation throughout the product life cycle.
• Support the product teams to continually learn and advance the maturity of the teams and the broader organization; solve roadblocks and advocate for product teams.
• Ensure agile ways of working are applied for US Advanced Analytics & ILab product development, delivery, and lifecycle.
• Collaborate with the Architecture & Integration, Data & Analytics management teams to ensure that standard technologies are leveraged for US Advanced Analytics products when appropriate

Key performance indicators:

• Measure the impact of the US Advanced Analytics & ILab product portfolio through business KPIs that demonstrate value creation and strategic alignment.
• Establish yourself as a valued, trusted, and well-respected partner for US Advanced Analytics & ILab technologies, fostering strong relationships with stakeholders.
• Collaborate with US teams to enable experimentation with new technologies, driving the development of DnA products that enhance associate experience, improve user adoption, accelerate speed to market, and reduce delivery costs.
• Deliver high-quality machine learning models within agreed-upon timeframes, ensuring they meet their value-based use case objectives and contribute to the overall success of the organization.

Minimum Requirements:
Work Experience:

• 10+ years of relevant experience in Data Science
• Proficiency in machine learning algorithms, neural networks, and deep learning techniques is essential for developing and implementing AI solutions
• Data Science and Analytics: Strong skills in data analysis, statistical modelling, and data visualization to interpret complex datasets and derive actionable insights.
• Expertise in programming languages such as Python, R, and SQL for developing AI models and managing large datasets
• Knowledge of NLP techniques to analyse and interpret unstructured data from various commercial data sources.
• Familiarity with cloud platforms like AWS, Azure Cloud for deploying and scaling AI solutions.
• Strong knowledge of AWS, Databricks, Dataiku, Snowflake, OpenAI, AZURE AI service offerings,
• Strong knowledge of visualization platforms and project life cycle management, including Power BI, AR/VR visualizations, Angular or React Scripting language
• Solid foundation in CRISP analytical life cycle management.
• Strong leadership skills with the ability to build high-performing teams.
• Project Management: Stro