Product Manager at Sia Partners - Canada

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

24 Jul, 26

Salary

0.0

Posted On

25 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product management, Generative AI, Machine learning, Data science, Agile, Product strategy, Stakeholder management, Market analysis, Technical fluency, System architecture, Data pipelines, KPI definition, Product lifecycle management, Cross-functional leadership, Problem solving

Industry

Business Consulting and Services

Description

Company Description Sia is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. With expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation. Job Description As a Product Manager at SIA, you will own the product lifecycle of enterprise solutions from discovery and ideation through launch and iteration. You will blend strategic vision with technical fluency to translate generative AI, analytics, and automation capabilities into measurable product outcomes for SIA and our clients. You will work closely with engineering, data science, design, delivery, and business stakeholders, and communicate effectively with leaders at all levels. You will operate in Agile squads and, where required, act as the Product Owner for the squad. Responsibilities Product strategy and vision: Define and communicate product vision, value proposition, and roadmap aligned with SIA priorities, client needs, and market opportunities Discovery and problem definition: Lead discovery with internal users and client stakeholders, document pain points and workflows, and translate them into clear problems to solve Market and competitive analysis: Monitor AI trends and competitor offerings to identify differentiation opportunities and risks Requirements and backlog ownership: Create clear requirements, user stories, and acceptance criteria, and maintain a delivery ready backlog Prioritization and trade-offs: Prioritize by customer value, impact, feasibility, risk, cost, and return on investment, and communicate decisions transparently Cross functional leadership: Align engineering, data science, architecture, security, design, and delivery teams to drive execution without direct authority AI solution delivery: Define AI feature requirements and evaluation approach, and partner with engineering and MLOps for integration, deployment readiness, monitoring, and iteration Security, compliance, and responsible AI: Ensure solutions meet enterprise expectations for privacy, security, and regulatory needs, and implement responsible AI guardrails such as evaluation standards, auditability, and human review where appropriate Stakeholder communication: Provide clear updates on status, scope, risks, dependencies, and release plans to SIA leadership and client stakeholders Metrics and optimization: Define KPIs and OKRs, measure adoption and business impact, analyze usage and performance data, and adjust roadmap based on insights Launch and adoption enablement: Partner with sales, marketing, customer success, and delivery teams on release planning, training, onboarding, and adoption strategies Agile execution: Lead product ceremonies such as sprint planning and backlog refinement, and partner with delivery leadership to ensure predictable outcomes and high quality Qualifications Education: Bachelor’s degree in computer science, Engineering, Data Science, or a related field, or equivalent experience Experience: 4 or more years in product management for enterprise or B2B software, with hands on exposure to AI enabled or data intensive products Experience working with multiple stakeholders in client and delivery environments is preferred Certifications such as CSPO, PSPO, PMI ACP, or PMP are a plus Skills: Product management: Strong discovery, prioritization, product writing, and roadmap management skills Technical fluency: Comfortable discussing system architecture, APIs, data pipelines, and technical trade-offs with engineering and data teams AI literacy: Strong understanding of generative AI and machine learning concepts and practical constraints such as quality, safety, latency, and cost Communication and leadership: Strong ability to influence and align technical and non-technical stakeholders, including senior executives and clients Analytical problem solving: Ability to use data to drive decisions and evaluate product and model performance Execution: Demonstrated ability to manage competing priorities and deliver outcomes under tight timelines Additional Information Why Join Us? Early responsibility: We empower our consultants to lead and deliver from the start. Career development: Your personal growth is our priority, with opportunity to learn and collaborate with global teams. Meaningful work: Opportunity to lead cutting-edge AI projects in a global consulting environment. Inclusive culture: Be part of a collaborative, entrepreneurial, and global team. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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Responsibilities

The Product Manager will own the end-to-end product lifecycle for enterprise solutions, translating AI and automation capabilities into measurable outcomes. They will lead discovery, define product strategy, and align cross-functional teams including engineering, data science, and design to drive execution.