Data Operations Manager
Heredia, Costa Rica
Applications have closed
Databricks
The Databricks Platform is the world’s first data intelligence platform powered by generative AI. Infuse AI into every facet of your business.The Data Operations Manager will be responsible for campaign execution in a fast-paced environment. As an important element to the customer’s experience, you’ll be at the center of cross-functional teams from the Self-Service, Marketing, Product, and Engineering organizations to serve as the Admin of our in-house automation tool, the customer engagement platform (CEP). You’ll shape the future of CEP, launch communications governance, processes, and best practices and execute all customer communications.
The impact you will have:
- Own email and in-product notification guidelines, governance and documentation as the lead point of contact between Marketing Operations, CEP, and customer communications teams
- Execute and QA instructional and operational customer communications in CEP, including but not limited to building the HTML messages, adding the templates to CEP, QAing the target audience and the messages, managing the approval process, working with necessary teams for automation of always-on comms, and scheduling and sending one-time sends.
- Serve as lead in customer communications volume control
- Leverage experience with marketing automation (Marketo, Eloqua, Pardot, etc) and/or customer success automation (Gainsight, Totango, etc) to serve as an Admin for CEP to program manage feature enhancements and system fixes with the CEP team
- Troubleshoot CEP issues as they arise
- Manage CEP metrics dashboard, raise awareness to high and low performing comms, and make recommendations to improve performance.
- Ability and desire to contribute ideas to improve processes and system performance
What we look for:
- 4+ years of experience in marketing operations or marketing automation; experience working with installed base marketing or customer success is preferred
- BA/BS Degree or equivalent working experience
- Advanced proficiency with marketing automation tools and best practices
- Python or SQL experience and basic HTML experience is preferred
- Good communication and collaboration skills with the ability to keep all necessary stakeholders informed in a timely manner
- Exceptional project management and organization skills; experience with Jira is a plus
- Maintain quality of work in fast-paced, dynamic environments
About Databricks
Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Databricks DataOps Engineering Excel Jira Marketo MLFlow Python Spark SQL
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