About the role

CSQ327R199

The Resource Manager is a strategic business partner for the Customer Success and Services organization, ensuring that our customers are matched with relevant talent and expertise to solve the world's toughest problems.

The primary responsibility of the Resource Manager is to manage resourcing for all potential and assigned projects. This position requires the individual to determine personnel requirements, provide ongoing support to project managers, and collaborate on resource management with multiple teams within our organization. The resource manager will be someone who can accurately assess resource needs and provide sufficient capacity to realize project goals.

The impact you will have:

Demonstrates a passion for the job and leads by example by putting Databricks and our customers first to achieve the delivery mission.
Ensure that resources are identified, assigned, prepared, and able to engage as planned to drive transparency of the resourcing workflow and status from pipeline to opportunity close and project start.
Ensure customers receive timely access to relevant talent and expertise to deliver their data and AI projects.
Drive resolution of delivery challenges, address resource contentions, and manage expectations.
Gain a deep understanding of our people, their unique skills, experience, and individual development plans.
Pro-active engagement of our preferred delivery partners ensures they can serve relevant resource requests.
Remediation of resourcing clashes and unforeseen events.
Data-driven analysis of resource productivity, utilization, and demand forecasting.

What we look for:

Minimum of 5 years of experience in resource management for a Professional Services and Education Services line of business.
Exceptional organizational, project management, and time-management skills.
Salesforce and FinancialForce PSA experience is a plus.
Excellent interpersonal and communication skills.
In-depth knowledge of applicable labor laws.
Willingness to travel for partner and business meetings within Asia Pacific when required

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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.

Skills & Tags

go aws ai data analytics product sales

Aplyr's read

Databricks is a hub for data-driven innovation, attracting talent in AI and big data to transform how organizations leverage data for strategic decisions.
Synthesized from recent postings & public sources

What's promising

•Databricks offers a cutting-edge platform integrating data science, engineering, and business analytics.
•The company is a leader in big data and AI, driving significant industry advancements.
•Strong emphasis on collaboration attracts top-tier talent in data analytics and AI fields.

What to watch

•High competition in cloud data analytics could impact market share.
•Rapid scaling may strain internal resources and affect company culture.
•Dependence on cloud infrastructure partners presents potential operational risks.

Why Databricks

•Databricks' Lakehouse architecture uniquely combines data lakes and warehouses.
•Focus on AI efficiency and optimization differentiates its research initiatives.
•Collaborative workspace design fosters innovation across diverse data teams.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Databricks

Databricks

databricks.com

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Databricks is a unified data analytics platform that accelerates innovation by unifying data science, engineering, and business. It provides a collaborative workspace for data teams to work with big data and AI, enabling organizations to make data-driven decisions.