Marketing Science Lead

Job summary

You will lead marketing science initiatives by designing robust data architectures and optimizing data pipelines to support cross-channel measurement. Additionally, you will mentor data engineers and collaborate with stakeholders to ensure data quality and actionable insights.

Job details

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/

What you’ll do

You will lead marketing science initiatives by designing robust data architectures and optimizing data pipelines to support cross-channel measurement. Additionally, you will mentor data engineers and collaborate with stakeholders to ensure data quality and actionable insights.

Requirements

Candidates must have extensive experience in database design, ETL processes, and cloud-based systems like Redshift. Proficiency in Python, SQL, and web analytics platforms is required, along with strong communication and project management skills.

Listed skills

• Data visualization · Preferred
• SQL · Preferred
• Project management · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data architecture
• Data engineering
• SQL
• Python
• Redshift
• Adobe Analytics
• Google Analytics
• ETL processes
• Data visualization
• API
• Database design
• Data governance
• Data lineage
• Project management
• Digital marketing
• Automation
• Cross-Channel Marketing
• Online Marketing
• Business Problems
• Product Delivery
• Curiosity
• System Optimization
• Data Lineage
• Application Programming Interface (API)
• Analytics
• Communication
• Data Architecture
• Data Consistency
• Data Engineering
• Data Governance
• Data Infrastructure
• Extract Transform Load (ETL)
• Data Quality
• Data Visualization
• Data Warehousing
• Database Design
• Digital Marketing
• Search Engine Optimization
• Marketing
• Python (Programming Language)
• Project Management
• Metadata Management
• Search Engine Marketing
• SQL (Programming Language)
• Team Building
• Web Analytics
• Process Improvement
• Collaboration
• Scripting
• Data Storage

Job areas

• Data & Analytics
• Marketing
• Technology
• Management & Leadership
• Engineering
• Marketing Science Analyst
• Marketing Analytics Specialist
• Advertising and Marketing Professionals
• Market Research Analysts and Marketing Specialists