Sr Technical Program Manager – AI Delivery & Operations
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AI Summary
Helping careers take flight. Reshaping an industry. Enable your career to be Made on Duck Creek.
WHO WE ARE:
Duck Creek Technologies is the intelligent solutions provider defining the future of the property and casualty (P&C) and general insurance industry. We are the platform upon which modern insurance systems are built, enabling the industry to capitalize on the power of the cloud to run agile, intelligent, and evergreen operations. Our modern SaaS solutions help insurers set a new standard and revolutionize how consumers interact with insurance companies.
Authenticity, purpose, and transparency are core to Duck Creek, and we believe insurance should be there for individuals and businesses when, where, and how they need it most. Our market-leading solutions are available on a standalone basis or as a full suite, and all are available via Duck Creek OnDemand. With more than 1,000 successful implementations to date, Duck Creek removes the IT burden for insurers so they can focus on the business of insurance.
We have a flock of more than 1,800 employees across the globe and are proud to be a Flexible-First employer. We empower our employees with the choice to work from an office, from home, or on a hybrid schedule. Our flexible-first environment fosters productivity, inclusion, collaboration, and ensures a consistent employee experience regardless of location.
If working in a fast-paced, rapidly evolving company that is transforming one of the world’s oldest and largest industries sounds exciting, let us know. We are excited you are considering Duck Creek as a future employer and hope you decide to join “The Flock”!
To learn more about us, visit www.duckcreek.com and follow us on our social channels for the latest information – LinkedIn and Twitter.
TITLE: Senior Technical Program Manager – AI Delivery & Operations
The Senior Technical Program Manager – AI Delivery & Operations leads the coordinated delivery of complex software and AI-enabled product initiatives across cross-functional and geographically distributed teams. The role is responsible for establishing delivery structure, managing dependencies and operational risks, supporting release readiness, and driving continuous improvement across product development operations. This position partners closely with Product Management, Engineering, Data, Security, and business stakeholders to support the effective execution and operational adoption of AI-enabled capabilities and delivery practices. The role exercises substantial independent judgment in program execution, operational planning, prioritization, and team leadership while operating within established organizational and functional objectives.
Job Functions & Responsibilities:
Lead delivery planning and execution across multiple concurrent software and AI-enabled product initiatives, including management of timelines, dependencies, risks, and operational readiness activities.
Coordinate cross-functional collaboration across Product Management, Engineering, Data, Security, Legal, Support, and business stakeholders to support successful delivery outcomes.
Establish and maintain delivery governance practices, operational cadences, reporting standards, and program communication processes across assigned initiatives.
Monitor program health indicators, delivery progress, operational risks, and release readiness activities; escalate issues and recommend mitigation strategies as appropriate.
Support implementation and continuous improvement of agile and product delivery practices appropriate to team maturity, operational complexity, and organizational objectives.
Partner with technical teams to translate architecture discussions, system dependencies, and implementation considerations into executable delivery plans and operational milestones.
Coordinate release readiness activities for AI-enabled products and capabilities, including deployment planning, operational support preparation, documentation alignment, and stakeholder communication.
Support operational adoption of AI-enabled development practices, tooling, and workflow improvements intended to improve delivery effectiveness and engineering efficiency.
Contribute to the refinement and execution of operational processes supporting AI lifecycle management, governance checkpoints, and production readiness activities.
Collaborate with engineering and data teams to support operational visibility into AI-related delivery metrics, technical dependencies, usage trends, and implementation risks.
Identify process inefficiencies, workflow gaps, and cross-functional coordination challenges; recommend and implement operational improvements to enhance delivery effectiveness.
Provide technical leadership, delivery guidance, mentoring, and knowledge sharing across teams and stakeholders within assigned areas of responsibility.
WHAT YOU’VE DONE:
REQUIRED:
Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field, or equivalent additional years of relevant professional experience.
8+ years of experience in technical program management, software delivery management, agile delivery leadership, or related operational leadership roles.
Experience leading complex cross-functional software delivery initiatives across distributed or global teams.
Experience working with software development lifecycle (SDLC) methodologies, agile delivery practices, and product development operations.
PREFERRED:
Experience supporting delivery of AI-enabled products, machine learning initiatives, data-intensive platforms, or workflow automation capabilities.
Familiarity with Knowledge Graph concepts, ontology frameworks, and LLM-enabled product capabilities.
Experience working alongside engineering, data engineering, machine learning engineering, or data science teams in a delivery coordination capacity.
Familiarity with cloud-based development environments, CI/CD pipelines, APIs, and distributed systems concepts.
Experience supporting operational governance, delivery reporting, or process improvement initiatives within product development organizations.
Knowledge, Skills, Abilities & Behaviors:
Knowledge of software development lifecycle methodologies, agile delivery principles, and product development operational practices.
Knowledge of cross-functional program coordination techniques, delivery governance practices, and operational reporting processes.
Knowledge of AI and machine learning product development concepts, including deployment, monitoring, and operational lifecycle considerations.
Knowledge of AI-enabled software delivery practices, including model deployment considerations, workflow automation, and AI-assisted development tooling.
Knowledge of delivery management tools and collaboration platforms such as Jira, Confluence, Azure DevOps, and Microsoft 365 applications.
Skill in managing multiple concurrent initiatives with competing priorities, timelines, and stakeholder expectations.
Skill in facilitating collaboration and communication across technical, operational, and business-focused teams.
Skill in identifying operational risks, process gaps, and dependency conflicts and implementing corrective actions.
Skill in interpreting technical implementation discussions and translating them into structured delivery activities and operational plans.
Skill in supporting release coordination, deployment readiness, and operational transition activities.
Ability to exercise independent judgment and prioritize work within established organizational objectives and operational frameworks.
Ability to provide technical leadership, mentoring, and guidance in dynamic and evolving delivery environments.
Ability to analyze operational data, delivery metrics, and workflow effectiveness to support continuous improvement efforts.
Ability to adapt to changing technologies, evolving operational requirements, and shifting business priorities.
Ability to work effectively across geographically distributed teams and multicultural working environments.
Work Environment & Other Requirements:
- Travel: 10 - 25%
- Work Authorization: Must be legally authorized to work in the country of the job location
WHAT WE STAND FOR:
Our global company celebrates & leverages the differences each employee brings to the table. Our success is a direct result of an inclusive culture where opportunities to learn from one another occur regardless of title, seniority, or background. This collaborative and team-oriented approach is at the core of how we operate and continuously improve our products, services, and systems. As such, Duck Creek is committed to providing equal opportunity to all employees and applicants – to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, gender, religion, sexual orientation, age, national origin, disability, marital, military, or any other protected status.
We strive to be an example to the world of inclusion, diversity, and equity in all things – where employees are free to be their authentic selves in the workplace and in the communities in which we live. We believe in leading by example and are proud of the diversity of our team and our shared commitment to our Core Values: We Prioritize Respect; We Listen; We Care; We Add Value; and We Lead.
To learn more about our inclusive company culture, values, DE&I initiatives, and people, please visit: https://www.duckcreek.com/life-at-duck-creek/.
Please let us know if you encounter accessibility barriers with our web content by sending an email to accessibility@duckcreek.com.
Privacy Notice: By submitting your application, you acknowledge that Duck Creek Technologies may collect and process your personal data for recruitment purposes in accordance with our Privacy Notice and applicable data protection laws.
Duck Creek Technologies does not accept, nor will we pay a fee for any hires resulting from unsolicited headhunter or agency resumes.
Duck Creek Technologies supports a Flex First work environment and employs team members across Canada. To support transparency and consistency, we maintain defined compensation ranges based on validated market data, internal equity, and regional considerations.
The expected salary range for this position is between $132,400 and $165,000 CAD, which reflects a good-faith estimate of the compensation range Duck Creek Technologies would expect to pay for this role at the time of posting.
Actual compensation is determined based on a variety of factors, including job-related skills, experience, qualifications, internal equity, and geographic location, in accordance with applicable provincial laws.
This position may also be eligible for annual bonus compensation, subject to plan terms and individual eligibility.
Duck Creek Technologies is committed to pay transparency and complies with applicable provincial pay transparency requirements.
Duck Creek Technologies believes in the safe, ethical, and responsible use of artificial intelligence. We may use AI-assisted tools to support parts of the recruitment process, such as reviewing applications, identifying relevant skills, and organizing candidate information.
AI tools are used to assist—not replace—human judgment. All AI-assisted outputs are reviewed by a Duck Creek team member, and final hiring decisions are always made by people. Candidates should be comfortable working in environments where AI is used responsibly to enhance business processes.
Duck Creek Technologies offers a comprehensive benefits package for Canadian employees, which includes:
- Flexible work environment
- Employer-sponsored health, dental, and vision benefits
- Life and disability insurance
- Retirement savings support, including an RRSP program (3% employer match)
- Paid statutory holidays, vacation, and other paid leaves in accordance with applicable provincial standards
- Employee Assistance Program (EAP)
Benefit eligibility and specific offerings may vary based on role, location, and applicable provincial requirements.
The application window for this position will remain open until the role is filled or a sufficient number of qualified candidates have been identified.
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