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12/10 Neeraj Shukla
Senior Talent Acquisition at MNR Solutions Pvt Ltd

Views:825 Applications:275 Rec. Actions:Recruiter Actions:28

Regional Lead - Data Analytics/Artificial Intelligence - Retail & Fashion (10-20 yrs)

Bangalore Job Code: 855598

Regional Lead : Data Analytics & AI - Retail & Fashion

Job title : Data, Analytics, and AI Lead

Purpose :

- The Data, Analytics, and AI Lead is responsible for strategy, application, and execution of data science. He or she will collaborate with members of the Leadership Team and other colleagues to prioritize and size the opportunity of AI applications, and lead a team of data scientists and engineers to execute and deliver value from those priorities.

- This role requires a rare blend of business acumen and big picture strategic thinking with a proven track record of delivering commercial value; detailed, granular knowledge of data, operational systems, statistics, machine learning, and AI techniques; empathy to engage with colleagues from a wide range of backgrounds; and the ability to lead and inspire others within his/her team and across the organization. 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-use

Team management : Responsible for initial team of two data scientists (medium to high professional level), likely to grow to approximately four data scientists, two data engineers, and one implementation lead within one year

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 AI

Qualifications :

- Advanced degree in a quantitative discipline (statistics, computer science, social sciences) with working knowledge of SQL, Python, Spark, MapReduce machine learning / AI techniques, cloud computing

- Prior experience in a business-focused data science role, with demonstrated examples of commercial impact through data science and AI

- Proven ability to lead technical and business teams in a matrixed organization; work closely with data, technology and business teams; influence at all levels of the organization

- Excellent verbal and written communication skills, with ability to tell stories through data, leveraging effective data visualization

- High level of organization and detail orientation, with ability to work across multiple projects/initiatives, troubleshoot and problem solve

- Previous experience in a retail company with wholesale and direct to consumer operating models strongly desired

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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