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Senior Manager, Advanced Analytics
MNP
Toronto, CAN
Full-time
Senior · 15+ years experience
Onsite
CAD 116000-150000 yearly / year
Discovered 3 weeks ago
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Responsibilities
- Design and implement cloud data architecture and data integration patterns (Azure Data Factory, Event Hub, Databricks, Synapse Pipelines, etc.) and storage and processing (Azure Synapse, BigQuery, Snowflake)
- Lead multiple engagements to design and develop data solutions using data modeling techniques (such as file based, normalized or denormalized, star schemas, schema on read, Vault data model, graphs) for mixed workloads
- Architect and design data implementation patterns and engineered solutions using native cloud capabilities.
- Lead teams in development of cloud data migration/integration/warehouse plans, roadmap, success metrics, and to assess of client’s enterprise (on-premises and on-cloud) data systems.
- Assess, capture, and translate complex business issues and requirements into structured analytics use cases, including rapid learning of industry domain/client dynamics and development of effective work stream plans
- Contribute to the successful execution of engagements, by raising risks, collaborating, and working as a strong team member
- Collaborating and working effectively with consultants and support the pursuit of business development opportunities
- Help clients understand the broader D&A journey and implications, participate in the process of solution design and the development of advanced D&A capabilities
- Lead, mentor, manage and collaborate with the team, internally and externally, in-person and virtually
- Lead and support the consulting sales process including meeting with prospective clients to understand needs, create estimates and to develop proposals and statements of work
Skills and Experience
- Bachelor's degree in a technical or quantitative field from an accredited college or university with working knowledge of topics such as mathematics, statistics, project management, economics, engineering, computer science, machine learning, operations, decision science, or cloud computing
- 15+ years (preferred) and/or process-specific experience in data & analytics, including strategy and transformation, data modeling, design, and implementation; Understanding of general landscape for data science and big data opportunities; deep understanding of process-specific landscape for opportunities
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