Implementation Lead - Innovation Success

Implementation Lead - Innovation Success 

New York, US

Founded in 2000, Ivalua is a global leader in cloud-based spend management solutions.

OUR COMPANY

At Ivalua, we are a global community of experts who believe that digital transformation makes supply chains more sustainable and resilient, while improving supplier collaboration.

We achieve this through our cloud spend management platform, which enables hundreds of major brands to manage their spend and suppliers while optimizing profitability, enhancing ESG (Environmental, Social, and Governance) performance, reducing risk, and improving productivity.

Driven by our passions and fueled by our shared ambitions, we empower ourselves to take on challenges and create impactful experiences for our customers and partner ecosystem, all while giving purpose to our teams.

Learn more at  LinkedIn www.ivalua.com. Follow us on  LinkedIn 

 

THE OPPORTUNITY

CONTEXT:

Our team is dedicated to the seamless implementation and long-term success of product innovations through early-stage collaboration and proactive product optimization. We thrive on a culture of teamwork, dynamism, and a shared enthusiasm for driving excellence in everything we do. Join us and be part of a team that values innovation, continuous learning, and customer satisfaction.

ROLE:

At Ivalua, we are currently seeking an Implementation Lead for our Innovation Success team within the Professional Services department. Reporting to the Professional Services Manager, you will drive the deployment of innovations, contribute to continuous product improvement, and provide client support.

WHAT YOU WILL DO WITH US

Key Responsibilities:

Deployment of Innovations

• Successfully deploy innovations for clients within designated budgets and timelines.

• Evaluate and consolidate innovations based on optimization opportunities identified with clients, distinguishing between product-level and project-level issues. Ensure innovations are robust and fully optimized prior to broader rollout by addressing all potential improvements identified during evaluation.

• Contribute to the development of Ivalua add-ons by delivering high-quality outputs through peer reviews.

Continuous Product Improvement

• Lead "Solution Optimization and Adoption" initiatives with clients to proactively evaluate and improve implementation quality.

• Develop and implement best practices based on lessons learned from previous innovations and deployments. Capture and integrate insights to enhance future processes and solutions.

• Create and distribute materials for internal and partner communications, and provide content to Services Ops for enablement sessions.

Ivalua Solution Expertise

• Propose scalable, long-term solutions by demonstrating comprehensive product and industry knowledge.

• Develop the technical and domain skills required for assignments (e.g., SQL, IVA Gen AI, Ivalua configuration, and relevant certifications).

• Actively engage with the community by addressing client and partner requests, sharing feedback, and highlighting implementation successes for new feature releases.

Project Knowledge and Support

• Contribute to the creation and maintenance of the client knowledge base.

• Maintain deep, detailed knowledge of client implementations within your assigned scope.

• Promote innovation and configuration best practices to drive client success and optimize solution deployment.

YOUR PROFILE

If you have the experience and strengths below, this role could be a great fit:

Experience & Core Competencies:

• At least 5 years+ of experience in product management and solution deployment.

• Proven track record in project management and solution implementation.

• Product-oriented mindset with strong analytical and problem-solving skills.

• Excellent communication skills and a client-centric approach.

• Willingness to travel (approx. 25%).

Agentic AI Expertise:

• Solid understanding of AI Agent architectures (e.g., planning, memory, tool usage) and their practical applications in client environments.

• Ability to map client processes to potential AI Agent workflows and define necessary inputs/outputs.

• Familiarity with operational considerations for depl