ShyftLabs Logo

ShyftLabs

Forward Deployed - Data & AI Product Manager

Posted 8 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Toronto, ON
150K-160K Annually
Senior level
In-Office or Remote
Hiring Remotely in Toronto, ON
150K-160K Annually
Senior level
Client-facing Product Manager supporting an enterprise Quality AI initiative. Responsibilities include gathering requirements, coordinating business and technical teams, evaluating vendor deliverables, shaping AI-enabled workflows and interfaces, managing UAT and launch readiness, tracking risks and dependencies, and defining KPIs to measure business value. The role bridges Quality stakeholders, data and analytics teams, IT, and implementation vendors to deliver reliable, transparent, and user-friendly AI solutions.
The summary above was generated by AI
The Opportunity

ShyftLabs is seeking a client-facing Data & AI Product Manager to support a Quality AI initiative for a leading enterprise client. In this role, you will work as an extension of the client's Data & Analytics (D&A) team, partnering closely with Quality business stakeholders, technology teams, and implementation vendors to drive the successful delivery of AI-powered solutions.

This is a hands-on product management opportunity for someone who can bridge business needs and technical execution, translate complex requirements into actionable product deliverables, and ensure that solutions deliver measurable business value. You will play a key role in providing product oversight, challenging vendor recommendations, coordinating implementation activities, and ensuring AI-driven workflows are reliable, user-friendly, and aligned with business objectives.

The ideal candidate combines strong stakeholder management and delivery coordination skills with an understanding of enterprise data, analytics, and emerging AI capabilities. You should be comfortable engaging directly with senior stakeholders, facilitating cross-functional discussions, and driving accountability in a complex enterprise environment.

What You'll Be Doing

  • Serve as a key product management partner to the client's Data & Analytics team, acting as the bridge between Quality business stakeholders, IT, data teams, and external implementation vendors.

  • Facilitate stakeholder discussions and requirements-gathering sessions to understand business needs, define priorities, and translate requirements into actionable product deliverables.

  • Manage day-to-day coordination across business and technical teams, ensuring alignment on scope, timelines, dependencies, deliverables, and implementation priorities.

  • Communicate product progress, risks, decisions, and recommendations clearly to business stakeholders and leadership.

  • Constructively challenge assumptions, proposed solutions, and vendor deliverables to ensure they meet business requirements and enterprise standards.

  • Review and evaluate vendor deliverables, including solution architectures, AI workflows, user interfaces, data mappings, testing strategies, and implementation plans.

  • Assess proposed AI-enabled solutions to ensure they address business requirements, support effective human oversight, and provide appropriate transparency into findings, exceptions, and recommendations.

  • Partner with business and technology teams to shape user-facing interfaces that enable Quality stakeholders to review documentation, investigate findings, assess exceptions, evaluate AI-generated recommendations, and support release decisions.

  • Coordinate business validation, user acceptance testing (UAT), defect resolution, and launch readiness activities.

  • Track implementation risks, dependencies, open issues, and decisions to maintain delivery momentum and ensure timely resolution.

  • Support the transition from implementation to operational use, ensuring stakeholders are prepared to adopt and effectively use the solution.

  • Define, challenge, and refine key performance indicators (KPIs) to measure the effectiveness and business impact of the Quality AI initiative.

  • Partner with the Value team to establish appropriate measurement frameworks, validate assumptions, and ensure benefits are tracked against agreed business objectives.

  • Translate business objectives into measurable product outcomes, ensuring the solution delivers tangible improvements in efficiency, quality, consistency, and decision-making.

  • Collaborate with data and analytics teams to validate data requirements, mappings, reporting needs, and the quality of information supporting AI-enabled workflows.

  • Maintain clear documentation of product requirements, decisions, risks, dependencies, action items, and delivery status.

What You'll Bring

  • 4–8 years of experience in product management, data and analytics, business analysis, digital transformation, or a related field.

  • Demonstrated experience supporting the delivery of enterprise data, analytics, AI, or digital products from requirements definition through implementation and launch.

  • Strong client-facing experience, with the ability to build trusted relationships and coordinate effectively across business stakeholders, technical teams, and external vendors.

  • Experience reviewing technical deliverables, challenging proposed solutions, identifying gaps, and driving alignment between business expectations and technical implementation.

  • Familiarity with Generative AI, document intelligence, optical character recognition (OCR), AI agents, or human-in-the-loop workflows.

  • Strong communication, facilitation, presentation, and stakeholder management skills, including the ability to navigate competing priorities and constructively challenge demanding stakeholders.

  • Experience coordinating UAT, business validation, issue resolution, and implementation readiness.

  • Ability to define success metrics, evaluate product performance, and connect delivery outcomes to measurable business value.

  • Strong organizational skills, attention to detail, and the ability to manage multiple workstreams in a fast-paced enterprise environment.

  • Comfortable working independently while maintaining strong alignment with client stakeholders and cross-functional delivery teams.

Salary Range

  • $150,000 - $160,000 (CAD)

Why You’ll Love Working at ShyftLabs
 
At ShyftLabs, your work matters. We’re a growing data product company making a big impact with Fortune 500 clients and as we scale, you’ll have the chance to shape solutions, influence strategy, and grow your career alongside us.
 
Inclusion at ShyftLabs
 
We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.

Similar Jobs

57 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
299K-447K Annually
Expert/Leader
299K-447K Annually
Expert/Leader
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Own the direction and implementation of Babylist’s personalization domain, including recommendation, search, feed models, custom embeddings, and shared representations. Take ambiguous problems from concept through production, owning architecture, deployment, monitoring, retraining, evaluation, and customer impact. Partner with product, design, and data, establish AI development standards, make cross-team technical decisions, and coach senior engineers while remaining hands-on with complex machine learning systems.
Top Skills: AirflowAmazon Bedrock AgentcoreAWSAws SagemakerDatadogDbtDeep LearningGithub ActionsHexKotlinKubernetesLangchainLaunchdarklyMatrix FactorizationMlflowMySQLPackwerkPandasPythonPyTorchRuby on RailsReactRetrieval And RankingScikit-LearnSidekiqSigmaSnowflakeSwiftTerraformTypescriptWarpstreamWeaviateXgboost
An Hour Ago
Easy Apply
Remote or Hybrid
Easy Apply
187K-260K Annually
Senior level
187K-260K Annually
Senior level
Big Data • Cloud • Software • Database
Provide technical leadership and build core components of MongoDB’s AI application platform. Design, implement, test, and optimize highly scalable, reliable distributed systems and cloud services. Shape architecture, development practices, code reviews, and developer experience while collaborating with product and engineering teams. Lead complex infrastructure projects, mentor engineers, and improve performance and scalability across long-lived codebases.
Top Skills: GoJavaKubernetesMongoDBPython
4 Hours Ago
Easy Apply
Remote
Easy Apply
112K-172K Annually
Senior level
112K-172K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Own and improve leadership development programs for aspiring, first-time, and newly hired people leaders. Design scalable learning journeys, workshops, peer communities, coaching, assessments, and practical leadership resources. Partner with People teams to connect development with hiring, onboarding, promotions, and growth. Use data, feedback, and emerging technologies to measure impact and continuously improve programs while managing vendors, communications, resources, and budgets.
Top Skills: Ai Tools

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account