Data, Analytics, And ai Regional Lead – Levi Strauss Americas

As cultural integration is a critical factor in the success of this role, this person will also embody the values and passions that characterize Levi Strauss & Co. Key responsibilities: \- Deliver commercial value through data, analytics, and AI projects / initiatives \- Collaborate with key stakeholders to design and lead high-impact projects / initiatives, with "SMART" business objectives \- Ensure impact by tracking and delivering commercial value, measured in revenue/EBIT growth, cost savings, and uplift / improvement compared to previous approaches \- Lead projects end-to-end, from ideation through technical execution to business implementation and automation \- Partner with the global team and counterparts to drive faster speed to execution; promote re-use; borrow shamelessly and share selflessly across regions \- Build consensus around buy or build decisions when necessary. When buying, partner with colleagues to assess capability of external AI vendors. \- Based on priorities set by stakeholder needs, set and own the local data strategy to optimize value and use \- Identify relevant internal and external data sources to understand behaviors, attitudes, preferences, and trends \- Work with data stewards and data owners to implement formal measurements of data quality and usability, and a plan to improve over time \- Encourage the use of data and data-driven decision making \- Empower colleagues with self-service capabilities where possible/practical through data tools and dashboards \- Manage local implementation and automation of projects, embedding analytics within the organization \- Oversee project lifecycle management: quickly scale in-progress to pilot; pilot to production; production to automation, freeing up resources to work through backlogs \- Integrate analytical / AI solutions into systems and processes, automating completed work \- Effectively manage risks, issues, and dependencies; use personal network and stakeholder relationships to resolve roadblocks \- Promote agile working / practices within the broader team \- Grow and develop team, and AI and analytical acumen throughout the organization \- Build a world-class team of data scientists and engineers; mentor team, both in terms of daily troubleshooting and long-term career development; over time, build a reputation for LS&Co. as an employer of choice for data and AI professionals \- Effectively manage team and budget, for the right blend of internal and external resources \- Build a community of data and analytics-savvy colleagues through a combination of training, knowledge sharing and inspiration / best practice sharing \- Demonstrate a spirit of cooperation, teamwork, and transparency \- Be a great team player, demonstrating empathy and positive psychology, and with strong cross-functional working relationships across commercial and technology teams, locally and globally \- Lead by example and provide ongoing mentorship and guidance to the team \- Promote a growth mindset and culture of continuous learning and improvement, empathy, humility and positive psychology \- Ensure accuracy and relevance of all work through peer reviews, pair- programming, and close partnership with colleagues across the business \- Drive transparency with all code and project plans saved to global Confluence / Git repositories; actively promote re-useTeam management: Responsible for team of approximately 15 data scientists and analysts, plus outside vendors; matrix manager of data engineers. Budget ownership: Oversee and make effective use of annual budget to fund external resources, data and technology enablement Reporting line: Solid line to Global Commercial Head of Data, Analytics, and