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Omnicom Media

Audience & Data Strategy Director

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 11, 2026
Posting language: English
Posted: Nov 11, 2026

Original job description

Agency

Omnicom Media

Job Function

Data and Analytics

Job Subfunction

Data Science and Analytics

Job Description

Position Summary

As our new Director, Audience Strategy, you will take on blended agency + client-facing role that incorporates business consulting, analytical depth, and cross-functional leadership.

Serving as a trusted advisor, you will connect client priorities to the right data capabilities (1P, 2P, 3P), technology, and strategy, to help drive measurable business outcomes.
Using your financial accumen and eye for detail you will ensure accurate revenue reporting, campaign pacing, and identify opportunities to grow audience targeting usage
Using your technical expertise and analytics skills you will support a talented team of analysts on segment creation, activation, manage operational issues, and collaborate on the development of new tools that improve the efficiency and effectiveness of our processes.
Leveraging your industry knowledge and leadership skills, you will work with internal product teams and vendors partners to grow our capabilities.

This position requires strong strategic thinking, relationship building and management, presentation, critical thinking, and problem-solving skills.

Key Responsibilities

Audience Strategy

Own the audience narrative for clients and align all work to business priorities and measurable outcomes.
Advise senior stakeholders using data-driven insights across audience strategy, testing, and optimization.
Translate complex signals and technical concepts into clear, actionable recommendations that build confidence with clients, partners, and internal leaders
Support development of client-facing deliverables including segment specifications, activation guides, and performance reports
Evolve and manage client data partnerships to ensure our audience offering stays ahead of customer needs

Audience Execution

Manage audience infrastructure including segment uploads, match rate optimization, and troubleshooting activation issues across DSPs, social platforms, and other endpoints
Maintain documentation of audience build processes, segment definitions, and activation requirements
Support audience modeling projects including clustering, lookalike modeling, propensity scoring, and behavioral segmentation in partnership with Advanced Analytics team
Willingness and ability to be “hands-on” as needed to step in, guide, or support deliverables.

Team Development

Mentor a talented team of 4+
Contribute to internal training materials and knowledge sharing sessions
Support recruitment efforts by participating in interviews and candidate evaluations
Provide technical guidance to junior team members and media planners on audience capabilities and data requirements

Continuous Learning & Innovation

Stay current on audience strategy best practices, emerging technologies, and privacy developments
Pilot new tools, techniques, and data sources to expand team capabilities
Document learnings and contribute to internal process improvements
Explore applications of AI/ML for audience development under senior guidance

Qualifications

Required Experience

7+ years of experience in audience strategy, data strategy, programmatic media, or marketing analytics within agency, brand, or martech environments
Experience managing a multi-million-dollar budget
1-3 years of people management experience
Demonstrated ability to independently execute complex audience projects from data analysis through activation
Direct hands-on experience building audience segments and managing campaign activation across multiple platforms
Proven ability to communicate technical concepts clearly to non-technical stakeholders

Core Competencies

Strong bias toward action with attention to detail and quality
Exceptional presentation and written communication skill
Ability to manage multiple concurrent projects with competing priorities
Works effectively across teams and builds productive relationships
Comfortable with ambiguity and changing priorities in a fast-paced environment

This is an active vacancy. We are currently hiring for this role and reviewing applications on an ongoing basis.

Expected Salary:$105,000 - $115,000

Skills

Omnicom Media is providing the compensation range that the company is willing to pay for this position based on the successful applicant’s education, experience, knowledge, skills and abilities. In addition, Omnicom Media provides rewarding offerings such as:

Generous paid time off with a minimum of 37 paid days off including vacation and monthly wellness days. We also have four-day long weekends, half-day summer Fridays, and meeting-free Friday afternoons year-round.
A flexible hybrid work model that works for you.
A focus on personal development with formal training opportunities, including mental health training and inclusion education for everyone.
A chance to be part of and grow within a global network of agencies.
The opportunity to contribute to our company culture by joining one of our many community-based employee groups, such as Black Employee Network, Girls on Fire, Hispanic or Latinx Alliance, Neuro Network, Pan-Asian Network, and Rainbow Lounge.

Omnicom is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out to talentcanada@omnicommedia.com

$105,000 - $115,000

To the extent permissible by local law, 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.

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/

,

$105,000 - $115,000

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead client audience strategy by connecting business priorities with data, technology, and measurable outcomes, and advise stakeholders through data-driven recommendations. Oversee audience execution and activation, mentor a team, manage data partnerships, and advance capabilities through innovation and process improvements.

Requirements

Requires at least seven years of experience in audience or data strategy, programmatic media, or marketing analytics, experience managing a multi-million-dollar budget, and one to three years of people management. Candidates must have hands-on experience building audience segments and activating campaigns across multiple platforms, along with the ability to communicate technical concepts clearly to non-technical stakeholders.

Skills

Audience Strategy
Data Strategy
Programmatic Media
Marketing Analytics
Audience Segmentation
Campaign Activation
Data Analysis
Audience Modeling
Match Rate Optimization
Campaign Pacing
Revenue Reporting
Presentation Skills
People Management
Cross-Functional Leadership
Problem-Solving

Benefits

Paid Time Off
Flexible Hybrid Work Model
Formal Training and Development
Employee Community Groups

Visa sponsorship

Not detected in the job text

Keywords

Audience Strategy
Data Strategy
First-Party Data
Second-Party Data
Third-Party Data
Programmatic Media
Marketing Analytics
Audience Segmentation
Segment Activation
Demand-Side Platforms
Social Platforms
Match Rate Optimization
Audience Modeling
Clustering
Lookalike Modeling
Propensity Scoring
Behavioral Segmentation
Campaign Pacing
Revenue Reporting
Data Partnerships
Advanced Analytics
Artificial Intelligence
Machine Learning
Privacy
Data-Driven Insights
Testing and Optimization
Client Consulting
Cross-Functional Leadership
Process Improvement
Data Science

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