Enablement Architect (Supply Optimization)

Kinaxis

Bengaluru

On-site

INR 4,000,000 - 6,000,000

Full time

2 days ago
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Benefits offered by this job

Flexible vacation and Kinaxis Days
Flexible work options
Well-being programs
Virtual fitness classes
Mentorship and career development
Recognition programs and referrals
Hackathons

Job summary

Kinaxis Bengaluru-based role seeking an Enablement Architect for Supply Optimization. You will design world-class learning programs and hands-on labs to help customers, partners, and internal teams maximize Kinaxis supply optimization capabilities.

The role requires 5–7 years in supply planning, with strong JS/SQL and AI in learning workflows. Preference for APICS and Solution Architect II certifications. Bengaluru location with Kinaxis perks.

Qualifications

  • Bachelor’s degree in CS, supply chain, OR, IE, or related field.
  • 5-7 years of experience in supply planning or optimization.
  • Hands-on implementation of supply optimization solutions (2+ projects).
  • Strong understanding of constrained supply, inventory targets, capacity balancing and service levels.
  • Ability to design and deliver technical learning programs and curricula.
  • Proficient in JavaScript/SQL and web-based learning tools.
  • Fluency in English; APICS cert. and Solution Architect II preferred.

Responsibilities

  • Architect customer/partner learning programs focused on supply optimization.
  • Design bootcamps, labs, and classroom training aligned with best practices.
  • Pilot expert-level training for customers and partners; prepare for hand-off to instructors.
  • Develop assessment criteria and practical exercises for learner proficiency.
  • Contribute to roadmap for new learning tools and improvements.
  • Translate new Supply Optimization capabilities into scalable learning experiences.
  • Mentor teams on technical aspects of supply optimization and roadmap.
  • Maintain knowledge of Kinaxis applications and industry trends.

Skills

JavaScript & web scripting
SQL
Analytical skills
Learning analytics
AI in learning programs
English fluency
Supply planning knowledge
Trend identification

Education

Bachelor’s degree in Computer Science, SCM, OR, IE or related

Tools

Kinaxis Maestro

Job description

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you! In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today. Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

Location

Bangalore

About The Team

The Enablement Architect for Supply Optimization is responsible for designing world-class enablement programs that equip Kinaxis customers, partners and internal teams with the skills required to maximize value from Supply Optimization capabilities. As a subject matter expert in supply planning and optimization, this role ensures learners can effectively leverage Kinaxis solutions to balance supply, demand, inventory, capacity, and service objectives across complex supply chains. The role is responsible for developing technical learning programs, architecting curriculum, and creating hands-on labs that reflect real-world supply optimization challenges and business scenarios. The Enablement Architect will provide expertise on emerging supply planning capabilities, integrations, AI-driven functionality, and advanced analytics while supporting the ongoing evolution of training, certification, and enablement programs.

What you will do
  • Architect technical components of customer and partner learning programs focused on supply optimization to meet business demands and ensure high-impact enablement.
  • Design bootcamps, hands-on labs, and workshop-style classroom training that align with best practices for supply planning, optimization, and digital supply chain transformation within Maestro and the Kinaxis platform.
  • Pilot the delivery of expert-level training to customers, partners, and internal teams., and prepare for hand-off to instructors
  • Develop assessment criteria and practical exercises to validate learner proficiency in configuring, analyzing, and optimizing supply planning scenarios.
  • Contribute to the roadmap for new learning tools and improvements to existing tools, ensuring alignment with product strategy and business priorities.
  • Partner with Product Management, Services, and Enablement teams to translate new Supply Optimization functionality into scalable learning experiences.
  • Mentor internal teams on technical aspects of supply optimization capabilities and roadmap developments, ensuring agility and timely adaptation to product changes.
  • Maintain deep knowledge of Kinaxis’s applications, supply planning methodologies, training techniques, and industry trends to ensure relevance and effectiveness
Education Qualification
  • Bachelor’s degree in Computer Science, Supply Chain Management, Operations Research, Industrial Engineering, or a related discipline
What we are looking for
  • 5-7 years’ experience in supply planning, supply optimization, inventory optimization, or related supply chain planning functions.
  • Experience with supply planning and optimization solutions within Kinaxis Maestro, including constrained supply balancing, inventory optimization, allocation, and scenario analysis.
  • Hands-on experience implementing supply optimization solutions, including at least two end-to-end projects.
  • Strong understanding of supply planning concepts including constrained supply, inventory targets, capacity balancing, service level trade-offs, and network considerations.
  • Ability to create high-quality technical learning programs, including curriculum design and enablement initiatives.
  • Strong analytical skills with experience in dashboards, scorecards, and learning analytics.
  • Ability to identify emerging trends and integrate them into learning programs, such as AI and advanced integration functionalities.
  • Knowledge of JavaScript, modern web-oriented scripting languages, and relational databases, with strong SQL skills
  • Strong working knowledge of using Ai to develop learning programs
  • Fluency in English; additional languages are a plus.
  • APICS certification preferred.
  • Solution Architect Level II certification (preferred).

#Senior

Work With Impact:

Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands:

Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.

Social Responsibility at Kinaxis:

Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:
  • Flexible vacation and Kinaxis Days (company-wide days off)
  • Flexible work options
  • Physical and mental well-being programs
  • Regularly scheduled virtual fitness classes
  • Mentorship programs, training, and career development
  • Recognition programs and referral rewards
  • Hackathons

For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com .

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

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