Lead and oversee a team of Project Coordinators, providing direction, coaching, and performance support while driving project governance and operational excellence.
Responsibilities
Lead and oversee a team of Project Coordinators
Establish and maintain project management governance
Monitor and optimize resource utilization
Drive achievement of key performance indicators
Manage stakeholder relationships
Requirements
Nice to have: PMP certification
Nice to have: Lean Six Sigma certification
Nice to have: Experience within IT or technology environments
Lead Operator responsible for supervising grain and agronomy operations staff, ensuring safe operation and maintenance of equipment, and coordinating production and delivery priorities.
Compensation
SALARY RANGE: $26.00 - $30.00
Responsibilities
Arranges work schedules and determines production and delivery priorities.
Schedules and records the shipping and receiving of products and services.
Ensures the overall appearance of the inside and outside of the premises is maintained in a professional and organized manner.
Ensures the safe operation, maintenance, and cleanliness of equipment and vehicles and keeps the storage facilities clean, organized and presentable.
Drives and operates plant equipment and machinery, such as bobcat, grain dryer and grain fertilizer elevators, forklifts and/or trucks safely.
Provides overall leadership to the GROWMARK FS, LLC Western Region employees and coordinates all sales, operations, public relations and control activities within the trade area in a profitable manner.
Responsibilities
Generates Profitable Sales by maintaining present business and generating new sales.
Maintains a current competitive analysis and reports all potential competitor status changes to management.
Conducts direct sales activity and supports sales personnel in obtaining targeted key accounts.
Operates at a profitable level by monitoring and controlling expenses.
Maintains price structure to be profitable and generate new business.
Requirements
College degree in a business-related field or equivalent
Provide strategic advice and recommendations on Alberta’s agricultural trade priorities, positions and approaches.
Research and analyze trade agreements, tariffs, barriers, geopolitical developments and emerging issues to assess impacts on Alberta’s agriculture and agri-food sectors.
Prepare briefings, reports, correspondence and recommendations for senior leaders and decision-makers.
Coordinate departmental and stakeholder input to advance Alberta’s trade interests, address barriers and identify market opportunities.
Plan and support Ministerial and senior executive trade advocacy, including missions, incoming delegations, itineraries and engagement activities.
Requirements
University Degree preferably in Political Science, International Relations, Public Administration, Economics or related
Provide senior-level analytical and advisory support to the Film and Television Tax Credit (FTTC) Program, translating data into insights and policy recommendations.
Senior data scientist responsible for advanced analytics, machine learning, and data-driven decision support within the Treasury Board & Finance ministry.
Compensation
$3,148.20 to $4,126.82 bi-weekly ($82,168 - $107,710/year)
Responsibilities
Analyze large, complex structured and unstructured datasets to identify trends, patterns, and actionable insights
Perform exploratory data analysis (EDA) and feature engineering to support modeling efforts
Design and implement data cleaning, transformation and processing logic for analytical and ML use cases
Develop, validate, and maintain statistical, machine learning and neural network models to solve business problems
Develop NLP solutions such as text classification, information extraction, summarization, and document similarity
Requirements
University degree in a relevant discipline – such as Advanced Analytics, Data Science, Artificial Intelligence, Computer Science, or Statistics
Nice to have: Deep learning frameworks
Nice to have: Formal certification from AWS or Azure
Nice to have: Experience with Spark or Databricks for large-scale data processing
Nice to have: Exposure to deploying or supporting ML workloads in AWS and/or Azure
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