Job Description

About Kinaxis:

About Kinaxis

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Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it's really our people who give us passion to always seek ways to do things better. As such, we're serious about your career growth and professional development, because People matter at Kinaxis.

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, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada's Top Employers, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

At Kinaxis, we power the world's supply chains to help preserve the planet's resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, 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.
About the team:

Location

our office in Ottawa, Canada (Hybrid)

About the team

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The Data & Analytics team drives Kinaxis' transformation into a data-driven organization by building and governing scalable, modern data ecosystems. We deliver high-quality, reliable, and accessible data that empowers decision-making, drives operational efficiency, and enables new business opportunities. Our expertise spans data integration, engineering, governance, business intelligence, and cloud cost optimization.
About the role:

What you will do

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We are seeking an experienced and dynamic Manager, Data & Analytics to lead a cross-functional team responsible for driving the modernization, governance and architecture of our data ecosystem. This role will be pivotal in aligning data strategies with organizational goals, enabling data-driven decision-making, and fostering innovation in data and analytics solutions. The Manager will guide, mentor and coach a team of skilled professionals with expertise from multiple domains, include Data Governance, Architecture, Data Engineering, Business Intelligence, Observability and Cloud FinOps. Your work will support the foundation of Kinaxis' strategic data initiatives by ensuring the quality and reliability of data pipelines that impact operational decision-making and enabling new revenues streams for the organization. Success in this role will rely on your ability to engage stakeholders, motivate employees, craft compelling data-driven narratives, and influence leadership to foster a culture of innovation and data- driven growth. Key responsibilities include:

Leadership & Team Management:

Lead, mentor, and manage a diverse team of specialists, architects, and engineers to deliver world-class data and analytics solutions. Foster a collaborative environment to encourage innovation, knowledge sharing, and professional growth. Define team objectives and key performance indicators (KPIs) aligned with organizational goals. Evangelize a data-driven culture within the organization Mentor, train and motivate employees to do their best work Stay up to date on the latest industry and technology trends as they related to your role.

Data Governance & Strategy:

Oversee the implementation of data governance frameworks, ensuring data integrity, compliance, and quality. Collaborate with stakeholders to establish data policies and standards that support business objectives.

Data Architecture, Engineering and Business Intelligence:

Guide the design and implementation of scalable and secure data architectures. Enable the transition of legacy systems to cloud-native solutions, leveraging cutting-edge technologies. Lead the delivery of world-class data products and business intelligence reports/dashboards that excite our end users.

Cloud Financial Operations (FinOps):

Help define and guide the implementation of data solution that enable cost management strategies for cloud infrastructure, optimizing spending and improving financial accountability. Collaborate with finance and engineering teams to maintain an efficient and cost-effective cloud ecosystem by ensuring that our data products meet the needs of the business.

Stakeholder Engagement:

Act as a key liaison between business units and technical teams, translating business requirements into actionable data solutions. Present insights and recommendations to executive leadership to influence strategic decision- making.

Technologies we use

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Visual Studio, JIRA, Confluence, Git (Bitbucket/stash) Datadog, Grafana and Logstash for Observability Python for core development SQL and DBT for Data Modelling Mulesoft and Informatica for Data Integration Postgres, SQL Server, Snowflake and Google BigQuery as data stores Apache Airflow, PowerBI Dataflows, and Github Actions for Orchestration PowerBI and/or Looker for Data Analysis Ansible and Terraform for Cloud Infrastructure Automation Powershell for Windows endpoint data collection Google Cloud Platform (GCP) and Microsoft Azure for Cloud Infrastructure.

What we are looking for

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Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field. A Master's degree is a plus. 7+ years of experience in software engineering, or data and analytics roles, including leadership positions in global, high-tech environments. Expertise in data governance, architecture, and cloud-native data ecosystems. Strong understanding of cloud cost management principles and tools. Strong understanding of cloud infrastructure and observability frameworks. Strong understanding of software engineering principles, including CI/CD, version control and Analytics as Code. Proven ability to manage diverse teams and cross-functional projects in fast-paced environments. Strong communication and storytelling skills with the ability to influence stakeholders at all levels. Certifications in data governance (e.g., CDMP, DAMA), cloud technologies, or FinOps is a plus. Experience with SaaS companies and modern data stacks, including tools like Snowflake, BigQuery, Databricks, Looker, and Power BI. Proficiency in scripting languages (Python, SQL) and CI/CD best practices

#Senior; #Manager

Why join Kinaxis?:

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, Yamaha, P&G, Honda, 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 net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month) Flexible work options Physical and mental well-being programs Regularly scheduled virtual fitness classes Mentorship programs and training and career development Recognition programs and referral rewards Hackathons


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. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.

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.