Question
Full-time
2-5

Product Manager

3/16/2026

The Product Manager will own the entire product lifecycle for enterprise solutions, translating generative AI, analytics, and automation capabilities into measurable product outcomes for the firm and its clients. Key duties include defining product vision, leading discovery, managing the backlog, and ensuring AI solutions meet security and responsible AI standards.

Working Hours

40 hours/week

Company Size

1,001-5,000 employees

Language

English

Visa Sponsorship

No

About The Company
Sia is an next-generation global consulting group in strategy, artificial intelligence and management. Founded in 1999, we were born digtal. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. Our 3,000 consultants in 19 countries share a strong belief: optimism is force multiplier and we help clients initiate, navigate and benefit from transformation. AI and data science is the powerhouse of Sia, augmenting consulting services and accelerating productivity. With 450 Data Strategists and Experts, 12 R&D Labs, and advanced GenAI Assistants, Sia is positioned as a leader in AI adoption.
About the Role

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. 

Key Skills
Product StrategyRoadmap ManagementDiscoveryProblem DefinitionMarket AnalysisBacklog OwnershipPrioritizationCross Functional LeadershipAI Solution DeliveryResponsible AIStakeholder CommunicationKPI DefinitionAgile ExecutionGenerative AIData ScienceTechnical Fluency
Categories
ConsultingSoftwareData & AnalyticsManagement & LeadershipEngineering
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