Lead the development of a best-in-class analytics function for Loblaw’s Sourcing organization, driving commercial decision‑making and AI capability roadmap.
Compensation
$145,000.00 - $195,000.00 / 145.000,00$ - 195.000,00$ (per year / par an)
Responsibilities
Lead Category Analytics across Fresh and CoS/HABA
Oversee sophisticated sourcing events and supplier plays
Challenge commercial assumptions and develop recommendations
Partner with Sourcing and Merchandising leaders to prioritize resources
Own Sourcing data and analytics agenda
Requirements
Bachelor’s degree in Business, Economics, Engineering, Mathematics, Computer Science or related discipline
Lead complex AI workstreams and engagements across APAC markets, guiding multidisciplinary teams and driving AI strategy, transformation, and delivery.
Locations (2)
China
Singapore
Responsibilities
Shape enterprise AI strategies, investment priorities and implementation roadmaps
Identify and prioritize high-value AI opportunities across functions, industries and APAC markets
Design AI-enabled operating models, governance structures and transformation programmes
Advise senior executives on AI investment, risk, governance, adoption and value realization
Lead organisational change and implementation planning for enterprise AI transformation
Lead AI product management for Global Payments Solutions, translating business priorities into execution-ready use cases and driving adoption of AI capabilities across banking operations.
Compensation
$105,700.00 - $164,700.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible
Responsibilities
Support the Data and AI product roadmap for Global Payments Solutions by translating business priorities into clear use cases, requirements, delivery plans, and success measures.
Maintain practical AI product management routines, including prompt libraries, reusable workflows, intake processes, governance checkpoints, adoption playbooks, value measurement, and responsible AI controls.
Lead focused discovery and solution design, including prompt frameworks, retrieval approaches, payments data requirements, user journeys, business cases, user feedback, and production-readiness plans.
Prepare concise updates on tradeoffs, risks, adoption progress, measurable outcomes, and recommendations for senior stakeholders.
Coordinate execution across Product, Technology, Data Science, Risk, Compliance, Legal, Operations, Sales, and client-facing teams, escalating blockers and keeping delivery moving.
Requirements
Bachelor’s Degree
Nice to have: executive business case development
Nice to have: ROI frameworks
Nice to have: adoption metrics
Senior Manager, Quality Assurance Ops Excellence and Resiliency
Build and lead the process improvement, operational resilience, and AI transformation capabilities for Last Mile Delivery Risk Operations.
Compensation
The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock
Responsibilities
Build the Ops Excellence and Resiliency capability for Risk Operations
Translate findings from Monitoring & Assurance, Risk Intelligence, root cause analysis, incidents, and operational performance into a prioritized portfolio of process, resilience, automation, and AI transformation opportunities
Lead end-to-end process redesign by applying a TPM/process driven mindset to simplify, standardize, and optimize Risk Operations workflows
Build an operational resilience model by identifying critical processes, dependencies, single points of failure, technology and data vulnerabilities, and contingency needs
Develop dependency maps, contingency playbooks, and operational readiness practices in partnership with process owners
Requirements
Bachelor’s degree in Business, Communications, Education, Engineering, or related field
Transformation lead overseeing high-visibility strategic initiatives within a portfolio of complex analytics and AI programs, bridging business, analytics and technology teams.
Compensation
The annual base salary for this position ranges from $176,000 to $294,300.
Responsibilities
Lead strategic initiatives end to end, partnering with IIS, Data Science, Data Engineering, Analytic Excellence, and partner teams across Sales, Marketing, Operations and Finance.
Develop and own the business case: define the problem, quantify the opportunity, frame options, and recommend an approach that balances impact, cost, resourcing, timeline, likelihood of success and risk
Build and own integrated program plans, translating objectives into milestones, deliverables, decision points and accountabilities across matrixed teams and external partners
Partner with the product owner on scope, sequencing and release planning so program commitments are met; bring data and planning expertise to prioritization trade-offs
Act as the business translator between commercial leaders, analytics and data science teams, and technology and platform partners, so requirements, constraints and decisions are understood on all sides
Requirements
Bachelor's degree with 8+ years experience
Master's degree with 7+ years experience
PhD with 5+ years experience
Nice to have: Experience delivering analytics or AI capabilities into a commercial organization
Lead and manage complex, high‑impact Microsoft Cloud & AI transformation programs across ASEAN, driving delivery excellence, governance, financial performance, and stakeholder engagement.
Responsibilities
Engage senior internal and external stakeholders to drive governance and resolve escalations
Drive customer satisfaction and manage expectations with political sensitivity
Initiate and plan high‑complexity projects, allocate resources, and create work breakdown structures
Lead contracting, partner resource management, and fixed‑fee subcontractor agreements
Lead pre‑sales activities, develop SOWs, estimates, and risk assessments
This is a hands-on sales leadership role accountable for accelerating market penetration, revenue growth, and strategic pipeline for Data & AI across Australia and New Zealand. The role involves direct enterprise selling and leadership of an industry-aligned go-to-market team.
Locations (2)
Melbourne, Victoria, Australia
Sydney, New South Wales, Australia
Responsibilities
Personally originate, qualify, shape and close strategic Data & AI opportunities across priority accounts and industries.
Build trusted relationships with C-suite and senior business executives to create demand around enterprise Data & AI transformation.
Develop whitespace opportunities and personally carry agreed revenue, bookings, pipeline, and conversion objectives.
Own strategic pursuits end to end, from executive discovery through negotiation and closure.
Lead executive discovery and connect Data & AI investments to enterprise growth and business value.
Requirements
Industry & Enterprise High Tech - Process Excellence
Accenture Infrastructure and Capital Projects, LLC · Posted Nov 6, 2026
Lead AI transformation and process excellence initiatives for high‑tech industry clients, designing AI‑ready processes, modeling, and optimization solutions.
Responsibilities
Discover and qualify AI use‑cases
Design AI‑ready process solutions
Facilitate client workshops
Model and redesign business processes using BPMN
Analyze and optimize processes
Requirements
Nice to have: AI prototyping using generative AI
Nice to have: Agent‑building platforms
Nice to have: Process mining tools (Celonis, Signavio, Soroco)
Nice to have: Robotic process automation tools (UiPath, Automation Anywhere)
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