Marketing Science Lead

Critical Mass; Toronto; Hybride; CAD 90 000 - 120 000; Plein temps

Résumé du poste

Critical Mass in Toronto seeks a Marketing Science Lead to ensure robust cross-channel measurement and data-driven marketing insights. You will work with cross-functional teams to support digital marketing measurement initiatives and strive to improve data architecture and data integration with a business-first approach.

You will collaborate with marketing and technical teams, mentor data engineers, and drive data governance and data quality across projects.

Qualifications

• Experience with ETL processes, data storage and databases (SQL, cloud-based systems) to extract, transform, and analyze data for actionable marketing insights.
• Knowledge of data architecture and data integration to support marketing measurement and reporting.
• Ability to distill complex data into actionable business recommendations.

Responsabilités

• Work with data to solve business problems and maintain the data architecture to answer key questions.
• Build and mentor data engineers, providing technical guidance and career development.
• Identify and implement processes to reduce manual work and optimize data delivery.
• Collaborate with clients and internal stakeholders to understand data requirements and support infrastructure needs.
• Ensure data accuracy and quality within the data warehouse and maintain data lineage.

Connaissances

Database design

ETL processes

APIs

Data analytics

Python

SQL

Data governance

Project management

Communication

Outils

Redshift

Python

SQL databases

Adobe Analytics

Google Analytics

Description du poste

Agency:

Critical Mass

Job Function:

Data and Analytics

Job Subfunction:

Data Science and Analytics

Job Description:

As a Marketing Science Lead, your curiosity never ends. You will be responsible for ensuring clean, robust measurement of cross-channel marketing activations. You have experience working with digital analytics tools.In this role, you will work with other Marketing Science team members as well as cross‑functional teams to support a variety of digital marketing measurement initiatives.Collaborating with multidisciplinary teams, you identify, prioritize, and address clients’ business needs. You’re a rock star in sub‑disciplines of Marketing Science—tracking and measurement, data visualization, testing and evaluation, with a subject matter expertise in Data Architecture & Integration with a business first approach.

You will:

• Work with data to solve business problems, building and maintaining the data architecture to answer business questions and Improve processes.
• Build and mentor team of data engineers in scripting, automation, databases, system optimization, providing technical guidance and fostering career development.
• Identify, design and implement Internal processes and frameworks for elimination of manual processes, optimizing data delivery, resolving data pipeline bottlenecks and evolving data architecture capabilities.
• Collaborate with clients and internal stakeholders to understand their data requirements and support their data infrastructure needs.
• Ensuring data consistency and accuracy is maintained within the data warehouse by identifying data quality issues and recommending solutions to handle root causes.
• Ensure Data Lineage is maintained and support Data Governance workstream in data quality and metadata management.
• Effectively communicate and present complex technical concepts to non-technical audiences.
• Develop, maintain and improve Data Engineering services to support sharing of data across different teams.
• Creatively solve problems, improve processes, and design methodically.
• Drive collaboration within teams to provide support, share skills, and gain insight.
• Confidently manage project delivery expectations and communications to project team.

You have:

• Database design and modelling experience including experience designing data architectures and infrastructure components.
• Experience with ETL processes, data storage and databases (SQL, cloud-based systems) to extract, transform, and analyze data for actionable marketing insights.
• Functional understanding of APIs and API data calls
• Experience with web analytics platforms (e.g.: Adobe Analytics / Google Analytics).
• Understanding of digital media channels (e.g.: Social, SEM, SEO, OLV, etc.) including how each one works and how they interact with one another.
• Experience with Redshift, Python, SQL and applying data engineering best practices to data product delivery.
• Confidence in your communication and collaboration skills.
• Ability to efficiently communicate deliveries and delays of project with follow‑ups as needed.
• Well‑organized approach to working on multiple projects at once.
• Passion to always improve your team’s craft through ongoing learning and support.
• Strong collaboration, project management, and team building skills.
• Ability to distill large quantities of information into clear and concise insights to formulate actionable recommendations.
• Proficiency in current issues and trends within the online marketing industry with an emphasis on emerging media and mobile platforms.

Toronto: $90,000-$120,000

Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in‑office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in‑office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/