Senior Manager - Marketing Data & Analytics

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. 

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently seeking a Senior Manager, Marketing Data & Analytics to join our team. This role is available as flexible hybrid in our hub cities (Vancouver, Calgary, Toronto, and New York) or remote across Canada and the US.

What your team does: 

The Marketing Data and Analytics team is responsible for marketing attribution and performance measurement. This team leads marketing efficiency analysis that enables channel and budget optimization. The Marketing organization relies on this team for insights on the full marketing funnel. This role will report to the Senior Director, Inbound Marketing and Operations, and work closely with demand generation, customer marketing, revenue operations, data science and business intelligence teams on marketing attribution, and optimization of the ROI of our marketing initiatives and spend. This role will drive meaningful business impact through actionable insights which influence key business decisions. 

Who you are: 

The ideal candidate for this role is a sharp, data-driven leader with a talent for drawing structure out of ambiguity, and a relentless focus on driving meaningful business impact through data and insights. You are passionate about unlocking marketing insights from complex and sometimes disparate data sets, have a strong business background, and a customer first focus. You have a gift for helping those around you understand the data, and a strong sense of curiosity that leads you to dig for the complete picture. You have mentored and managed individuals but are willing to roll up your sleeves and dive deep into data to produce insights.

What you’ll work on:

• Strategy and Roadmap
  • Develop marketing analytics and insights roadmap working collaboratively with and assessing the needs of marketing teams and the Data Science and Insights team.
  • Create a center of excellence for marketing data and reporting that enables 100+ marketers worldwide.
  • Serve as a strategic partner for the marketing leadership team and CMO.
• Marketing ROI
  • Lead marketing attribution, choosing the right model for each question (first touch, last touch or W-shaped) and using multi-touch attribution to guide channel mix and budget decisions 
  • Providing actionable insights and recommendations on improving return across marketing channels, business segments and the customer lifecycle, including acquisition, retention and expansion.
  • Evaluate marketing program performance metrics and identify areas for optimization, recommending testing methodologies and iterative improvements to maximize program effectiveness.
• Web Analytics and Experimentation
  • Own high-level web performance reporting in partnership with the Web team, and dig in when results shift.
  • Partner with the Web team on the web data model and data layer instrumentation, so tracking is accurate and meets reporting needs.
  • Participate in experimentation to model the impact of tests on pipeline.
• Predictive Modeling and Forecasting
  • Develop models to forecast market demands and MQLs based on historical data.
  • Build pacing and attainment reporting to track performance to goal.
  • Collaborate with cross-functional teams to integrate forecasts into strategic planning processes.
• Data Optimization and Process Improvement
  • Manage and own key marketing reporting platforms, including web analytics, multi-touch attribution and data visualization tools.
  • Own marketing data governance in partnership with Marketing Ops, including metric definitions, tracking standards and data quality.
  • Serve as a consulted partner on privacy decisions that affect marketing data.
  • Create and streamline data collection processes from various sources, ensuring accuracy and efficiency.
• Performance Reporting and Presentation
  • Develop automated dashboards and reporting mechanisms to track real-time performance.
  • Democratize data by building self-serve dashboards, training and resources that help marketers find and act on insights themselves.
  • Prepare regular reports and presentations for senior leadership, highlighting achievements, insights and areas for improvement.
• AI Automation
  • Provide requirements for the semantic layer between our data warehouse and Claude, using our governed metric definitions so marketers get consistent answers.
  • Enable marketers to ask questions in plain language and get reliable answers and automated performance summaries.
  • Use Claude and other AI tools and MCPs to automate recurring work like data collection, chart and dashboard creation and ad hoc analysis.
  • Partner with Data & Insights and Revenue Operations to make sure AI-powered reporting is built on trustworthy data.
• Mentorship and Coaching
  • Build, lead, and mentor a team of marketing analysts to do their best work and achieve their career goals.

What you bring:

• Direct experience at a high growth B2B SaaS company, ideally with a product-led growth or free trial motion
• 8+ years of direct experience working in marketing analytics/decision science/management consulting
• 3+ years of people management
• Proficiency in complex data analysis and analyzing the performance of online and offline marketing campaigns
• Proficiency with web analytics, CDPs, data pipeline, data visualization, marketing automation and sales automation platforms, CRM, multi-touch attribution, a/b testing, and AI.  Experience with Amplitude, Google Analytics, Segment, Looker, Salesforce, Optimizely, Dreamdata, and HubSpot is a huge plus.
• Demonstrated marketing analytics expertise including martech, attribution, forecasting, and testing roadmaps
• Strong presentation and communication skills to distill results into actionable insights and recommendations

Serious bonus points if you have:

• A graduate degree in a relevant quantitative discipline (computer science, statistics, data science)

This role is a backfill for an existing position.

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.
 

Some highlights of our Total Rewards program include:

• Competitive, equitable salary with top-tier health benefits, dental, and vision insurance 
• Hybrid work environment, with expectation for local Clions to be in office minimum twice per week. (Find your Hub)
• Flexible time off policy, with an encouraged 20 days off per year.
• $2000 annual counseling benefit
• RRSP matching and RESP contribution 
• Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The on-target earnings (OTE) salary range for this role is $176,600 to $265,000 reflecting base salary plus variable compensation at 100% attainment. Variable compensation is not guaranteed and will depend on individual, team, or company performance. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility 

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.