Unlock what's already in you
Morningstar Logo

Morningstar

Assistant Vice President, Marketing Automation & Analytics

Posted 14 Days Ago
Be an Early Applicant
Hybrid
Toronto, ON
75K-121K Annually
Senior level
Hybrid
Toronto, ON
75K-121K Annually
Senior level
Owns global marketing automation platforms, data architecture, audience segmentation, reporting, analytics, governance, and martech strategy for the Credit business. Designs automation programs, lead scoring, lifecycle frameworks, integrations, attribution models, KPIs, and executive dashboards. Analyzes campaign and funnel performance to deliver actionable insights and recommendations. Requires strong platform administration, marketing data management, visualization, project management, and stakeholder communication skills.
The summary above was generated by AI

The Credit group is a global team guided by Morningstar's mission to empower investor success. Our entrepreneurial spirit and uncompromising ethics guide everything we do. With teams in Toronto, New York, Chicago, London, Frankfurt, Madrid, Sydney, and Mumbai, we serve our clients around the world with industry-defining credit products and services.


Through Morningstar DBRS, we provide independent credit opinions and thought leadership on corporate and sovereign entities, financial institutions, and project and structured finance transactions globally. Rating more than 4,500 issuers and 68,000 securities, Morningstar DBRS is one of the four largest credit rating agencies in the world.


Through Morningstar Credit, we deliver world-class credit analytics solutions that empower credit market decision-makers with the tools and insights they need to drive faster, more informed, and more predictable outcomes.


The Credit group is one of the largest and fastest-growing business units at Morningstar and the Credit Marketing & Communications team is critical to achieving its continued growth and success. With opportunities to make an impact across the business, the Credit group is where you can grow both personally and professionally.


The Role


We are looking for a seasoned marketing automation and analytics professional to support the global Credit business at Morningstar. In this senior individual contributor role, you will own the platforms, data, and reporting frameworks that enable the broader marketing team and be responsible for driving marketing automation, audience segmentation, reporting, and data management initiatives to improve marketing effectiveness and efficiency. This role is a great opportunity to drive operational excellence and make a meaningful impact on one of Morningstar's largest and fastest-growing business units.


To be successful in this role, you will have hands-on experience in marketing automation, data management, and analytics, with expertise in HubSpot, Pardot, and related martech platforms. You will also have strong project management and communication skills, exceptional attention to detail, and a proven ability to translate data into actionable insights and recommendations. The ideal candidate is a highly motivated problem solver with a passion for marketing technology and analytics.


This role is based in New York and requires at least four days per week in the office. What you’ll be doing


Marketing Automation

  • Define the martech vision, strategy, and roadmap for the global Credit business
  • Own the end-to-end management of marketing technology platforms, driving platform strategy, integrations, governance, and expert-level administration and support
  • Serve as the primary administrator for marketing automation platforms, managing system configuration, access controls, platform enhancements, and vendor relationships
  • Design, implement, and optimize marketing automation programs, campaign templates, lead scoring models, audience journeys, and lifecycle frameworks
  • Support the marketing team in executing efficient and effective campaigns through marketing technology platforms
  • Stay current on marketing automation, data management, analytics, and martech best practices, identifying opportunities to enhance capabilities, efficiency, and performance

Marketing Data Management

  • Own the marketing data architecture across marketing platforms, including campaign tracking, source attribution, taxonomy, and marketing system integrations, ensuring data frameworks support business objectives, reporting needs, and future scalability
  • Maintain an up-to-date marketing audience database with high levels of data quality, integrity, and standardization, including establishing governance processes and ensuring compliance with applicable privacy regulations
  • Oversee audience segmentation strategy and governance across platforms to ensure consistency, relevance, and compliance

Marketing Analytics & Reporting

  • Define, maintain, and evolve marketing measurement frameworks, KPIs, and attribution methodologies to assess marketing effectiveness and business impact
  • Analyze the marketing database and generate actionable audience insights for marketing campaigns
  • Analyze marketing funnel performance, campaign effectiveness, and audience behavior to identify optimization opportunities and provide actionable recommendations
  • Integrate marketing performance data from multiple sources and develop centralized marketing performance and executive dashboards with clear and compelling visualizations
  • Partner with marketing stakeholders to deliver insights that inform strategy, investment decisions, and continuous performance improvement
  • Champion a culture of data-driven decision-making and continuous improvement by providing insights, recommendations, and thought leadership across the marketing organization

What we’re looking for

  • A bachelor’s degree
  • 8+ years of experience in marketing automation architecture
  • Deep hands-on expertise in marketing platform (Pardot, HubSpot, or related) administration, configuration, and integration with Salesforce and supporting technologies
  • Strong understanding of lead management, routing, and scoring processes
  • Experience with marketing intelligence and visualization tools (Tableau, Power BI, Looker, etc.)
  • Ability to successfully manage multiple projects simultaneously, communicating effectively with stakeholders and prioritizing to deliver high-quality work within deadline
  • Ability to collaborate effectively with other team members as well as work independently and autonomously
  • High attention to detail and a deep appreciation and proven ability for process-driven and detailed execution of marketing activities
  • Strong problem-solving skills with experience overcoming ambiguity

Compensation Range

Base Salary - $75,000 - $120,800

Target Bonus - 15%

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

Morningstar Seattle, Washington, USA Office

Morningstar PitchBook US Headquarters Office

901 Fifth Avenue, Seattle, WA, United States, 98164

Similar Jobs at Morningstar

6 Hours Ago
Hybrid
113K-162K Annually
Senior level
113K-162K Annually
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Lead North American software engineering teams supporting retirement technology products. Responsibilities include hiring and developing engineers, establishing architecture and engineering standards, improving software delivery and operations, guiding AI-native engineering practices, and executing initiatives across multiple applications and teams. The role partners with Product Management on roadmaps, manages dependencies, removes blockers, and promotes quality, security, compliance, accessibility, ownership, and continuous improvement.
Top Skills: Ai-Assisted Code ReviewsApi DesignAutomated TestingAWSCi/CdCloud-Native DevelopmentCoding AgentsData ConsistencyDistributed SystemsJavaJavaScriptObservabilityPerformance EngineeringResiliencyRest ApisSecure SdlcService ArchitectureSlosSpring BootTypescript
24 Days Ago
Hybrid
102K-207K Annually
Senior level
102K-207K Annually
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Build and operate applied AI systems, including LLM integrations, agentic workflows, data pipelines, evaluation frameworks, MCP tools, APIs, and governed content-serving layers. The role emphasizes production reliability, provenance, security, cost and latency management, regression detection, and human-reviewed AI outputs. Responsibilities include cloud deployment, structured content modeling, telemetry, governance, mentoring, and collaboration on AI standards. Strong Python, TypeScript, AWS, API, data pipeline, and production LLM experience are required.
Top Skills: Amazon BedrockAWSAzure Ai/Cognitive ServicesDockerFastapiGraphQLHeadless CmsInfrastructure As CodeLitellmLlmsMcpNode.jsPythonRagRestStructured OutputsTool/Function CallingTypescript
24 Days Ago
Hybrid
90K-133K Annually
Senior level
90K-133K Annually
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Build and operate production applied AI systems, including LLM integrations, agentic workflows, data pipelines, evaluation frameworks, APIs, MCP tools, and governed content-serving layers. Develop reliable extraction and classification agents, model evaluation harnesses, telemetry, and structured data pipelines. Ensure security, privacy, provenance, reliability, latency, and cost controls while mentoring engineers and contributing to AI governance and standards.
Top Skills: Amazon BedrockAWSAzure Ai/Cognitive ServicesFastapiGraphQLLitellmLlmsMcpNode.jsPythonRagRestTypescript

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account