Staff Project Manager, Services

Posted Yesterday
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Hiring Remotely in India
Remote
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Lead commercial delivery of Professional Services engagements, manage cross-functional teams, mitigate risks, ensure customer outcomes and satisfaction, drive account growth, and mentor junior staff while improving delivery practices.
Summary Generated by Built In

CSQ127R77

As a Staff Project Manager, you are instrumental in driving the mission of our Professional Services team, which is dedicated to accelerating and de-risking our customers' outcomes by ensuring the success of every project we undertake. Your role is pivotal in not only achieving project goals but also in maintaining an exceptional level of customer satisfaction throughout the process. You will expertly navigate the balance between delivering outstanding results and aligning with the commercial objectives of the Professional Services organization. Your leadership and strategic insight will contribute directly to our clients' success and the growth of our business.
 
The impact you will have:
  • You will take ownership of all commercial delivery of services from a project administration and director perspective across numerous projects ranging from a single individual for 2-3 weeks to 6-month engagements of multi-person teams
  • Serve as a trusted advisor to senior customer stakeholders, driving clarity, alignment, and confidence through all stages of delivery
  • Shape the success of engagements by proactively managing risks, aligning cross-functional teams, and ensuring customer outcomes are met or exceeded
  • Ensure accurate reporting on projects and keep all relevant parties up-to-date with project activity and success
  • Drive growth in key accounts by identifying expansion opportunities, influencing future roadmaps, and enabling continued adoption of the Databricks platform
  • Contribute to the evolution of delivery best practices within the Professional Services team and mentor junior team members to build future leaders

What we look for:
  • Proven experience leading complex, enterprise-scale data, analytics, or AI/ML projects in a fast-paced customer-facing environment
  • Extensive experience successfully managing and overseeing projects with teams of up to 5 people, with contract values in excess of $0.5 million
  • Ability to engage, influence, and build trust with senior executive stakeholders on the customer side, including CxOs
  • Strong understanding of cloud platforms (AWS, Azure, GCP) and familiarity with data lakehouse architecture or modern data platforms
  • Demonstrated ability to manage multiple workstreams across technical and business stakeholders, balancing scope, time, and risk
  • Experience working with cross-functional teams, including engineering, solution architects, sales, and partners
  • Skilled in driving structured governance, managing stakeholder expectations, and facilitating executive-level communication
  • Experience in setting up and managing project delivery frameworks, including Agile, Scrum, or hybrid methodologies, ideally with PMI/PRINCE/AGILE certification
  • Comfort with ambiguity and ability to bring clarity and structure to unstructured or evolving customer engagement
  • Ability to identify delivery risks early and implement mitigation plans to ensure customer outcomes and satisfaction
  • Experience with commercial aspects of delivery including change control, SoW management, and margin protection
  • High ownership mindset with a bias for action, accountability, and customer success
  • Excellent verbal and written communication skills, with the ability to influence at all levels.
  • Experience identifying opportunities to expand or upsell services in the context of ongoing delivery engagements
  • Product-oriented mindset or experience working closely with product teams is a plus
  • Ability to mentor team members.

 

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, please visit https://www.mybenefitsnow.com/databricks. 

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.

Top Skills

Databricks,Aws,Azure,Gcp,Data Lakehouse,Apache Spark,Delta Lake,Mlflow
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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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