Who Can Apply
- Candidates must be legally authorized to work in Canada
Job Description
We are seeking an execution-focused AI Delivery Operations Lead to accelerate development velocity and instill operational rigor across our expanding AI, analytics, and data initiatives. Moving beyond traditional, administrative project management, this role serves as the central orchestration engine across multiple technical pods. You will lead cross-functional delivery, champion agile governance, eliminate execution bottlenecks, and align complex technical outputs with business strategy.
Responsibilities:
Cross-Functional Execution & Governance:
- Lead the delivery cadence for multiple synchronized pods across AI/GenAI, data science, data engineering, marketing technology, and customer experience streams.
Sprint & Delivery Rigor:
- Establish and enforce agile operating mechanisms.
- Facilitate sprint planning, daily stand-ups, retro reviews, and cross-pod syncs (e.g., Scrum of Scrums) to ensure continuous delivery.
Dependency & Pipeline Integration:
- Map and manage highly complex technical dependencies, ensuring upstream data engineering pipelines align smoothly with downstream MarTech and client-facing product releases.
Prioritization & Velocity Tracking:
- Drive prioritization follow-through with product owners.
- Define, track, and report on agile metrics (e.g., cycle time, sprint velocity, deployment frequency) to continually optimize delivery speed.
Stakeholder Coordination & Communication:
- Serve as the connective tissue between deep technical engineering teams and business business units.
- Bridge communication gaps and establish a clear, predictable cadence for progress reporting.
Risk & Compliance Management:
- Proactively identify execution risks.
- Partner with teams to ensure data governance, privacy compliance (e.g., PII, GDPR), and model safety standards are met throughout development
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
- 5+ years of experience managing technical programs, product delivery, or scrum operations in complex, fast-paced environments.
- Agile Expertise: Deep practical experience with agile frameworks (Scrum, Kanban, SAFe) and a proven track record of managing delivery across multiple simultaneous pods.
- Technical Fluency: Strong foundational knowledge of data environments. You must be comfortable speaking the language of data engineers and data scientists (e.g., understanding data pipelines, cloud infrastructure, and data warehousing).
- AI/Data Exposure: Prior experience navigating the unique lifecycles of data analytics, machine learning, or GenAI projects (including understanding data preparation, model training, and moving prototypes to production).
- Stakeholder Mastery: Outstanding communication skills with a demonstrated ability to translate complex technical blockers into business impact and manage expectations around technical ambiguity.
- Tools: High proficiency with modern agile management tools (e.g., Jira, Confluence, Linear, Asana).
Soft Skill Requirements:
- Strong communication skills to present information to any level of management.
- Ability to take feedback, remain resilient, and agile.
- Organized and strong time management skills.
Nice to Have Skills & Experience
- Certifications in Agile frameworks (e.g., Certified ScrumMaster (CSM), PMI-ACP, Safe Agilist).
- Familiarity with MLOps or LLMOps workflows, prompt engineering guardrails, and model validation concepts.
- Experience working explicitly alongside Marketing Technology (MarTech) stacks or Customer Experience (CX) data platforms
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.