Senior Manager, Advanced Analytics

MNP•Ottawa, ON

1d•CA$116,000 - CA$150,000•Hybrid

About The Position

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, SnowFlake, 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.

Requirements

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
Understanding of SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Spark

Nice To Haves

Support clients with agile, master data management (MDM) or data governance training or credentials
Strong written and communication skills with the ability to explain technical concepts and analytics-driven findings to business, and to explain industry-specific processes, concepts, challenges, and issues to technical resource
Experience with project management tools (MS Office Suite, Teams, Visio, Cascade, Smartsheet, etc.)
Ability and willingness to travel; however, as an in-office employer, you must be able to accommodate either working in office or at the client site as required.
Understanding of one or more is a big plus -CI/CD, cloud devops, containers (kubernetes/Docker, etc.), Python/PySpark/JavaScript
Possessing a certification(s) in one of the following is a big plus - AWS/Azure/GCP data engineering

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