Manager, Database Marketing (C-Level Communities)

GartnerIrving, TX
67d$84,000 - $116,000

About The Position

The Database Marketing Manager is responsible for the strategic growth and overall health of our contact database. This role is critical to accelerating Gartner C-level Communities’ growth; as a partner to sales and marketing, you will be challenged with evolving our database into a competitive advantage by tapping the full potential of the prospect/customer universe. You will ensure the best quality data, including completeness, accuracy and validity. You will also be the hands-on expert on the in/outs of the data and the database, working closely with our Business Ops and Technology teams to ensure org accessibility, usability and productivity. The ideal candidate is a strategic thinker, a problem solver, passionate about data integrity and has an acute attention to detail.

Requirements

  • Bachelor’s degree in business, marketing or related field.
  • 3+ years’ leading/coaching a team.
  • 5+ years’ experience managing a CRM database (Salesforce experience preferred).
  • Experience working with sales and marketing teams (to segment the database and define high-value targets).
  • Advanced proficiency with SQL or Python and manipulating data sets.
  • Advanced proficiency with Alteryx or Dataiku, Power BI, Tableau or similar transformation and analytical tools.
  • Explore AI tools and techniques to improve validation, deduplication, error detection, cleansing, standardizing and matching to automate and optimize data management tasks and efficiencies.
  • Awareness of developing AI tools that support data management and enhance quality, reliability, and scalability.
  • Ability to dive deeply into the database to derive insights and analytics to show overall health and performance of our database.
  • Familiarity with general B2B marketing strategies for both cold and lifecycle outreach.
  • Possess outstanding interpersonal and team skills with a track record of developing positive working relationships.
  • High level of initiative and a wide degree of technical problem-solving skills, creativity and business aptitude.
  • Adaptable to business changes, ability to prioritize tasks and communicate effectively about competing priorities and project setbacks.
  • Strong leadership skills, business acumen and executive presence to manage multiple stakeholders at all levels of the organizations.
  • Strong project management skills (familiarity with project management methodologies) with the ability to create, execute and adjust plans as needed.

Responsibilities

  • Own multiple cross-functional relationships and be proactive in communicating out-and-up against goals.
  • Partner and support cross-functional leaders, including those in Community, Sales and other business units, balancing integration, scalability, urgency and impact.
  • Lead and provide technical mentorship to a team of Marketing Database Coordinators/Specialists and manage activity to properly support company objectives.
  • Accountable for project delivery and leadership progress updates.
  • Define and own strategy, including acquisition of new data and ongoing hygiene of existing data.
  • Create program/project plans to execute against strategy, track and mitigate risks and pivot when necessary.
  • Actively collaborate with internal stakeholders to ensure that the data meets the needs of the business and identify ways of improving coverage and quality.
  • Work with Business Technology, Development, Business Analytics, and Business Ops teams to develop an agile and scalable database architecture that can be segmented and expanded in response to evolving business needs.
  • Compare the current database to the total addressable universe and actively strategize to find additional data sources or data collection methods to solve for the delta.
  • Provide regular reports on the state of the database: accuracy and coverage ratings, launch and risk markets, current project status, and future roadmap.
  • Build out automated solutions, including AI tools and techniques, to aggregate data across various sources, accelerate standardization, hygiene, and enhancements of the dataset.
  • Own the output of data processing and define the rulesets used to treat data for objective review, categorization and routing across regions and roles.
  • Assess and solve for exceptions, data integrity errors, and data anomalies.
  • Identify and leverage innovative technologies that will increase efficiency and make data more actionable.

Benefits

  • Generous PTO.
  • 401k match up to $7,200 per year.
  • Opportunity to purchase company stock at a discount.
  • Highly competitive compensation.
  • Disproportionate rewards for top performers.
  • Flexibility to work virtually when it's productive.
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