Kimberly-Clark : Artificial Intelligence Strategist

Brief Description of position:

 

Job Summary

Job Description

The AI Strategist is responsible for value discovery and realization for AI/data science projects in Kimberly-Clark. This is a non-managerial leadership (individual contributor) role. This role will be part of the AI value engineering team (in the CDO organization) that is tasked with creating AI transformation in Kimberly-Clark. This is a niche and newly created team in the company and hence the person will have opportunity to shape up the direction of the team and also to influence AI strategy across the company. This role will be part of the ambitious vision to make Kimberly-Clark an AI driven company.

AI Strategist is responsible for interacting with various business units of Kimberly-Clark across regions globally and across one or more of the functions such as supply chain, manufacturing, sales, marketing. This person carries two broad responsibilities. One is to understand and analyze business context and challenges, and craft machine learning / data science solutions using value engineering approaches. Second is to ensure developed solutions are adopted by the business teams and expected value is realized. AI Strategist will be a trusted advisor to business teams in adoption of AI in the company with global competitiveness.

Duties and Responsibilities:

Job Details

  • Interact with business teams and have deep understanding of business functions and processes of Kimberly-Clark.
  • Conduct workshops and discovery sessions to analyze current priorities, challenges and focus areas of business teams.
  • Craft appropriate data science solutions working closely with business teams and data science leads and using value engineering techniques and frameworks.
  • Identify qualitative and quantitative benefits of the solution as well as integration with business processes and business actionability.
  • Hand over the solution blueprint / charter to data science delivery team.
  • Work with business teams globally to ensure the developed solution is adopted.
  • Track the expected benefits over short-term as well as long-term.
  • Ensure initial solution is scaled to other similar business functional and regions of Kimberly-Clark.
  • Be the change agent to raise “Artificial Intelligence Quotient” across Kimberly-Clark, by creating and showcasing success stories, creating newsletters and more.
  • Engage all stakeholders in Kimberly-Clark using various modes such as personal discussions, group sessions as well as internal social media channels.
  • Help create frameworks, templates, processes and governance for establishing the AI value engineering team in Kimberly-Clark.

Education required/ preferred:

  • B.E. or B. Tech in Information Technology, Data Science, or related field and MBA from a reputed business school.
  • At least 12 years of industry experience and at least 5 years or more of work experience in data science domain.
  • AI strategist is responsible for value discovery and realization AI projects across various K-C Business, Functional and technical stake holders to deliver intended business outcome.
  • AI strategist is responsible for delivery of AI projects across various K-C Business, Functional and technical stake holders to deliver intended business outcome
  • Who can solve Business problems, Dollar Impact, understand the new set of complex challenges.
  • Someone who comes with growth mindset, empathy and who can ask questions.
  • AI strategist must have customer centricity, problem solving skills and entrepreneurial mindset.
  • Must know how to define value proposition and product market fit and drive MVP scope thru customer development and discovery.
  • Experience in working with business stakeholders, which requires that he/she is very articulate with strong business acumen with strong communication skills.
  • Must have ability to simplify complex topics, complex AI /ML concepts needs to be simplified and someone who can tell a good story to business
  • Growth mind set, come up with art of possible use cases, detailed oriented nature to try/build MVP by working with ML engineers, fail, try different approach until succeed: GRIT is key.
  • Experience working in premier management consulting or technology consulting companies in data science practice, interacting with external clients and creating data science solutions OR experience in companies similar to Kimberly-Clark in similar roles.
  • Deep expertise in at least one of the functions such as supply chain, manufacturing, sales, marketing.
  • Exposure to multiple sectors including CPG, Automobiles, Technology, Retail, Entertainment, Travel and Hospitality etc.
  • Good knowledge of machine learning and artificial intelligence. Exposure to working on solutions that use different kinds of machine learning algorithms.
  • Should be able to assess fitment of algorithms to business problems, convert model results to actionable recommendations, explain the modelling process as well as results to busines stakeholders across hierarchy.
  • Having point of view and preferably demonstrated thought leadership in business and strategic implications of data science and artificial intelligence.
  • Exceptional communication and persuasion skills as well as ability to network, influence without authority particularly those above in the hierarchy.
  • Exceptional problem solving skills, to be able to start with business priorities, use structured approach to break down into multiple AI use cases.

Global VISA and Relocation Specifications

K-C requires that an employee have authorization to work in the country in which the role is based. In the event an applicant does not have current work authorization, K-C will determine, in its sole discretion, whether to sponsor an individual for work authorization. However, based on immigration requirements, not all roles are suitable for sponsorship.
This role is available for local candidates already authorized to work in the role’s country only. K-C will not provide relocation support for this role.

Minimum Qualification:
Graduate
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