• Own and manage Jira backlogs, sprint boards, epics, user stories, dependencies, and delivery reporting.
• Lead sprint planning, backlog refinement, stand-ups, RAID tracking, status updates, and escalations.
• Work closely with developers and architects to understand proposed solutions and translate them into actionable delivery plans.
• Break high-level roadmaps and architecture initiatives into smaller workstreams, epics, stories, and deliverable components.
• Create and refine technical user stories and acceptance criteria in partnership with engineering teams.
• Support technical scoping and high-level effort estimation, identifying assumptions, dependencies, risks, and complexity.
• Translate business and product requirements into clear engineering deliverables.
• Track priorities, timelines, blockers, risks, and cross-team dependencies.
• Align sprint execution with the product roadmap and target architecture.
• Promote strong data product principles including ownership, reuse, quality, governance, metadata, lineage, and consumer value.
• Provide leadership with clear updates on progress, trade-offs, risks, dependencies, and priority conflicts.
• Act as a technical bridge between business stakeholders, product teams, architects, and developers.

• Strong technical project, program, delivery management, or BSA experience working closely with engineering teams.
• Prior hands-on background in software development, data engineering, cloud engineering, solution architecture, or a similar technical discipline.
• Strong AWS experience and ability to understand cloud/data architecture discussions.
• Experience with AWS Bedrock or GenAI solutions built on AWS.
• Experience or strong working knowledge of AWS Lake Formation, data lakes, lakehouse platforms, or cloud-based data platforms.
• Strong Data Product, data governance, metadata, lineage, and data catalogue experience.
• Advanced Jira and Agile delivery management skills.
• Experience creating technical user stories, acceptance criteria, backlogs, and sprint deliverables.
• Ability to take a high-level architecture or roadmap and break it into executable workstreams.
• Comfortable supporting technical scoping and providing high-level effort estimates.
• Strong understanding of AI/ML concepts such as LLMs, RAG, AI agents, agentic AI, semantic layers, or knowledge graphs.
• Ability to operate in ambiguity, create structure, identify gaps, and drive accountability.

• Experience with AWS services such as:
• Amazon Bedrock
• AWS Lake Formation
• Amazon Neptune
• Amazon QuickSight
• AWS Glue
• Amazon S3
• Athena
• Bedrock AgentCore / agentic AI capabilities
• Experience with modern data lake or lakehouse architectures.
• Experience with metadata management, data catalogues, data lineage, and data governance frameworks.
• Scrum Master, Technical Product Owner, or Business Systems Analyst experience.
• Experience working in financial services, investment management, or another regulated enterprise environment.
• Experience supporting AI/ML or GenAI platform delivery.

We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.

The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location. For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.