Technical Program Manager
Requirements
- Experience
- 4+ years
Joblaze summary
In the role of Technical Program Manager at Databricks, the individual will oversee the delivery of professional services across multiple big data projects, ensuring successful outcomes for clients. Key skills include experience in managing enterprise-scale projects, familiarity with agile methodologies, and strong communication abilities. This position is suited for professionals with over four years of experience in project management, particularly in the big data and analytics sector. Databricks emphasizes a collaborative environment, working closely with cross-functional teams to drive customer success.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 817 other open roles including Sr. Solutions Architect - Oil, Gas, and Energy, Sr. Solutions Engineer, AWS Cloud Partner Solutions Architect — EMEA.
- 1721 active AI/ML roles on Joblaze right now.
- 124 active Big Data roles on Joblaze right now.
- 24 active Agile roles on Joblaze right now.
Quick facts
- How much experience is required?
- At least 4 years of relevant experience for this Technical Program Manager role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Big Data, Agile.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Technical Program Manager role at Databricks.
From the original posting
CSQ427R141
At Databricks we work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us with interesting new big data and AI use cases. You will shape the future big data and the machine learning landscape for leading Fortune 500 organizations.
Technical Project Managers accomplish the mission of the Professional Services team, which is to accelerate and de-risk our customers' outcome through improved project success. Whilst maintaining a high level of customer satisfaction project managers balance delivery responsibilities with the commercial goals of the professional services organization. You will report to the Director, Professional Services.
The impact you will have:
- You will take ownership of all commercial delivery of services from a project administration and director perspective across numerous concurrent projects in Asean and Greater China Region ranging from a single individual for 2-3 weeks to 6 months engagements of multi-person teams
- You will define, manage, scope and mitigate risk across projects including enforcing project reporting, milestone tracking and financial management of engagements to accelerate our customers success adoption and their associated outcomes.
- Work with the account management and customer teams to complete handover from sales to delivery teams
- Work with the account management team to ensure accurate reporting on projects and keeping all relevant parties up-to-date with project activity and success
What we look for:
- Individuals who excel in a high paced environment working with cross-functional teams on multiple customer engagements often concurrently.
- 4+ years experience successfully managing and overseeing big data projects with teams of up to 5 people with contract values in excess of $0.5 million
- Experience in managing enterprise scale projects, with global deployments ideally within the big data and analytics industry domain
- Experience of industry project management techniques including agile project delivery ideally with PMI/PRINCE/AGILE certification
- Good communication and analytical skills with ability to mentor team members to achieve success.
- Initiative, determination and a high degree of resourcefulness
- Strong commercial focus and will have managed both T&M and Fixed Price project engagements
- Travel expected across the region
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.