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Tech Stack
Tools & technologiesAWSAzureCloudPMP
About the role
Key responsibilities & impact- Drive strategic product initiatives, process improvement efforts, and product and capability evolution activities aligned with CBTW’s vision, operational objectives, and long-term business direction.
- Contribute to scalable product approaches, governance models, and reusable product and delivery approaches across initiatives, engagements, and cross-functional collaboration areas.
- Guide prioritization, product governance, and continuous improvement activities to strengthen delivery consistency, product quality, and operational scalability.
- Partner with internal stakeholders and client teams to support strategic opportunities, proposals, quotations, and solution positioning activities.
- Lead or facilitate discovery sessions, requirement analysis, and business discussions to understand client goals, operational challenges, and product expectations.
- Translate business needs into scalable product approaches, delivery strategies, and actionable recommendations for balancing business value, technical feasibility, and delivery constraints.
- Guide complex product delivery activities across multiple projects, products, or client engagements while ensuring alignment between roadmap priorities, delivery milestones, stakeholder expectations, and operational constraints.
- Support Product Management and cross-functional teams in structuring requirements, refining product scope, and maintaining consistency across delivery initiatives.
- Monitor delivery risks, dependencies, and scope evolution while facilitating cross-functional alignment, governance, and decision-making activities.
- Lead the adoption of AI-assisted practices to improve product analysis, requirement engineering, backlog management, documentation quality, proposal preparation, and delivery efficiency.
- Promote effective usage of AI-assisted tools and modern AI product patterns to enhance collaboration, productivity, and decision-making across the Product Management function.
- Mentor and support Product team members through coaching, onboarding, knowledge sharing, and capability development initiatives.
- Act as a secondary leadership layer within the Product Management function, supporting leadership continuity, operational alignment, and capability growth across teams.
Requirements
What you’ll need- 13+ years of experience in Product Management, Product Ownership, Business Analysis, or related delivery roles
- Proven experience in senior product leadership activities involving proposals, delivery governance, stakeholder management, and organizational improvement initiatives.
- Strong leadership presence with the ability to influence stakeholders, align cross-functional teams, and facilitate strategic discussions across business, delivery, and technology areas.
- Excellent verbal and written communication skills in English, with experience mentoring, coaching, or supporting capability development within Product Management teams.
- Strong understanding of product governance, roadmap structuring, backlog management, Agile delivery practices, and release planning across multiple projects or engagements.
- Proven ability to balance business objectives, technical feasibility, operational scalability, and delivery constraints in product discovery, requirement analysis, and solution design activities.
- Strong experience supporting proposals, quotations, estimation activities, discovery engagements, and scalable solution approaches aligned with business objectives.
- Strong consulting mindset with the ability to understand client goals, operational challenges, and organizational constraints across different business contexts.
- Hands-on experience leveraging AI-assisted tools to improve product analysis, documentation, requirement engineering, backlog management, proposal preparation, and collaboration activities.
- Strong understanding of AI-enabled product capabilities and modern AI patterns such as LLM-powered services, semantic search, knowledge retrieval systems, and automation workflows.
- Strong conceptual understanding of APIs, integrations, enterprise platforms, cloud-based systems, data structures, and scalable enterprise software delivery approaches. Familiarity with data pipelines and modern AI concepts such as vector embeddings, Retrieval-Augmented Generation (RAG), document chunking, and knowledge indexing used in LLM-powered applications.
- Experience working in consulting, enterprise platforms, digital transformation, or AI-enabled product environments involving complex stakeholder and delivery structures.
- Relevant certifications or training in Agile, Product Management, cloud technologies, enterprise architecture, or AI-related domains (e.g., SAFe, PSPO, PMP, AWS, Azure, AI Product Management, Generative AI, or similar) are considered a plus.
Benefits
Comp & perks- Flexible working hours
- Professional development opportunities
ATS Keywords
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Hard Skills & Tools
Product ManagementProduct OwnershipBusiness AnalysisAgile delivery practicesRequirement analysisBacklog managementProposal preparationSolution designAPIsData structures
Soft Skills
LeadershipStakeholder managementCommunicationMentoringCoachingInfluencingFacilitationConsulting mindsetCross-functional collaborationStrategic thinking
Certifications
SAFePSPOPMPAWSAzureAI Product ManagementGenerative AI