Data & Analytics Practice Dept Manager

6 months ago

Winnipeg, Canada Manitoba Hydro Full time

**DATA & ANALYTICS PRACTICE DEPARTMENT MANAGER**

**Winnipeg, MB**

**_ Manitoba Hydro is consistently recognized as one of Manitoba's Top Employers_**

**_ Great Benefits_**
- Competitive salary and benefits package.
- Defined-benefit pension plan.
- Nine-day work cycle which normally results in every other Monday off, providing for a balanced approach to work, family life
- and community.- Flex-time and partially remote work schedule (providing the option to work remotely 3 days per 2 week period), depending on

nature of work, operational requirements and work location.

Manitoba Hydro is a leader among energy companies in North America, recognized for providing highly reliable service and
exceptional customer satisfaction. Join our team of Manitoba's best as we continue to build a company that supports innovation,
commitment and customer service.

Reporting to the Digital Director, the Manager of Data and Analytics is accountable for executing on the enterprise data strategy to
build out a centralized data office while implementing a federated operating model to all aspects of data management and
governance, reporting, analytics, machine learning (ML), and Artificial Intelligence (AI).
The current Data and Analytics department is in its infancy and significant growth and expansion are expected over the next few
years, tied to enterprise priorities. Data, analytics, automation, ML, AI, and Generative AI (Gen AI) are of growing importance to
Manitoba Hydro, and therefore the importance and use of data is increasingly more significant as well. The Manager, Data and
Analytics has an opportunity to raise the stakes of how data is managed and used across Manitoba Hydro, generating significant
efficiency and value from our data assets.

**_ Responsibilities:_**
- Leading the department through the build and growth phase, focusing on the delivery of the enterprise data strategy, vision,

and roadmap to address enterprise data needs, such as: data management, master data management, data governance,
metadata, data quality, data product development, business intelligence, reporting, analytics, data science, and ML/AI to
generate trusted and timely insights, transparent data-driven decisions, and business agility and efficiency.
- Creating and nourishing the federated operating model across the enterprise through strong business partnerships, utilizing

best practices in self-service and citizen development.
- Identifying, creating, and recruiting new roles as the organizational needs for data grow.
- Leading the development of a data product management model for reporting and analytics delivery with multiple delivery
- squads, to generate continuous delivery and improvement.- Providing strategic leadership across the team and the enterprise and guiding technical solutions for data and analytics
- initiatives to ensure smooth and successful delivery.- methods, and standards.- Working with business and D&T leaders to identify areas of technical needs for master data management, data quality,
- reporting, analytics, data science and AI capabilities.- Working with D&T Business Partners to identify and prioritize business projects and enterprise data initiatives utilizing an
- approved prioritization framework.- Build and grow data literacy and enablement through the Data and Analytics Community of Practice, guiding the evolution of
- data and analytics capabilities across the organization.- Stay informed of tools and approaches that could improve the enablement of enterprise data and analytics capabilities.

**_ Qualifications:_**
- Completion of a four-year degree program from an institute of recognized standing in an applicable discipline plus nine years

MANITOBA HYDRO IS COMMITTED TO DIVERSITY AND EMPLOYMENT EQUITY

Reference Code: CO56824926-01

of directly related experience, demonstrating progressively greater responsibility in a supervisory/leadership capacity or an
equivalent combination of post-secondary education and experience.
- Knowledge of trends and developments in the fields of data management, master data management, data governance,

reporting, analytics, and ML and AI would be an asset.
- Industry-specific knowledge of data privacy and security protocols, policies, and regulations would be an asset.
- Familiarity with cloud data platforms such as Microsoft Azure, data catalogs, data integration, extract, transform, and load
- (ETL) tools and processes, big data technologies, and geospatial data would be an asset.- Demonstrated ability to provide strategic leadership in planning and organizing strategic initiatives, including experience in
- dealing with issues related to project management and change management.- Superior interpersonal and communication skills with the ability to establish and maintain effective working relationships with
- management and staff throughout the enterprise.- Strong commitment to the value and needs of our customers and employees.
- A problem solver who is comfortabl

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