×
Register Here to Apply for Jobs or Post Jobs. X

Project Manager, Professional Services - FINS

Job in Trenton, Mercer County, New Jersey, 08628, USA
Listing for: Databricks
Full Time position
Listed on 2026-02-06
Job specializations:
  • Management
    Operations Manager, Program / Project Manager, IT Project Manager, Data Science Manager
Salary/Wage Range or Industry Benchmark: 128500 USD Yearly USD 128500.00 YEAR
Job Description & How to Apply Below
Position: Staff Project Manager, Professional Services - FINS

ADD Req R56

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

The Impact You Will Have
  • Responsible for the successful completion and delivery of some of our most complex customer engagements. They also provide leadership and guidance to the implementation team on how to meet and exceed the program/project goals.
  • Individually delivers on commitments by producing quality deliverables, status reports, program/project plans, and customer responses on time and requiring minimal rework through inspection and mentoring.
  • Effectively manages the different aspects of a program, including scope, schedule, program/project financials, risk, quality, and resources.
  • Actively participates in regular reviews of high-risk and key engagements with the engagement team and Databricks stakeholders.
  • Effectively builds and leverages customer relationships throughout the presales and delivery process.
  • Ensures our engagements drive high customer satisfaction.
  • Builds long-term relationships with clients that can be leveraged beyond specific engagements.
  • Serves as the initial point of escalation for customers who have questions or concerns about our delivery. Additionally, provides escalation as needed into other parts of Databricks to ensure rapid resolution of technical and business issues.
  • Consistently articulates a thorough understanding of Databricks’ vision and solutions to help deliver successful implementations and ensure positive engagement outcomes.
What We Look For
  • Past experience managing large, complex engagements with enterprise customers
  • 6+ years of program/project management experience, ideally in a company similar to Databricks or within the FINS field.
  • Proven leadership and problem-solving skills.
  • Familiarity with PS Operations and a strong ability to drive delivery management will be requirements.
  • Experience with BI, Data Management, and big data technologies is preferred.
  • Excellent communication and strong conflict resolution skills.
  • Proven written communication and documentation skills, along with strong project management experience and negotiation skills.
  • Strong abilities to multitask, manage multiple engagements, while delivering an extremely high level of customer satisfaction.
  • Experience working with PSA tools is a plus.
Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

  • Zone 1 Pay Range
  • $128,500—$179,875 USD
  • Zone 2 Pay Range
  • $115,700—$161,900 USD
  • Zone 3 Pay Range
  • $109,200—$152,850 USD
  • Zone 4 Pay Range
  • $102,800—$143,900 USD
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, Linked In 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, please visit

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.

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary