Senior Manager, Advanced Analytics

What do you think of when you hear the name MNP? Most likely tax and accounting, but as one of Canada’s largest consulting organizations, we’re so much more! We’re also serious about technology.

Make an impact with MNP Digital as a Senior Manager, Advanced Analytics. You will be an integral part of the team responsible for leading and collaborating with the Business Intelligence Data & Analytics practice to build out modern cloud data platforms that support business intelligence, AI, advanced analytics and data science. Platforms you will be supporting include MS Azure, Snow Flake, GCP and AWS.

At MNP Digital, our strength is our people. An investment in our people is an investment in our success. You will have the opportunity to learn from leaders in their fields, develop new skills, and cultivate new relationships to support your career goals. If you’re ready to take your career into your own hands, you’ve come to the right place.

• 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, Big Query, 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

• 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
• Ability to communicate effectively at a manager level and an ability to communicate at an executive level, across multiple lines of the organization including IT, analytics, finance, operations, business development, and other industry-specific functions
• Experience implementing enterprise data concepts such as Master Data Management, Enterprise Data Catalog, and Enterprise Data Warehouse
• Experience architecting solutions to solve business problems using cloud data services (Azure preferred) in combination with experience leading and building teams, data pipelines, data streams, and system integration
• Experience with project budgeting
• SME or high exposure to Fabric, Purview, Databricks, Azure and Snowflake
• Experience implementing production cloud analytics platforms (Azure preferred)
• Experienced with data modeling concepts and techniques to design and develop data solutions (file based, normalized or denormalized, star schemas, schema on read, etc…) for mixed workloads
• Understa…