Sr. Technical Program Manager
Databricks Mosaic · India · Karnataka, India
CHECKED 15H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Own commercial delivery across diverse customer projects from weeks to months.
- Serve as trusted advisor driving clarity and confidence through delivery.
- Drive growth in key accounts by enabling continued Databricks platform adoption.
Ideal candidate
Customer-obsessed delivery leader who thrives in fast-paced enterprise environments and brings clarity to ambiguity. You balance customer success with commercial outcomes and enjoy advising executives while mentoring teams.
Requirements
- Proven experience leading complex, enterprise-scale data or AI/ML projects in a fast-paced customer-facing environment
- Experience managing 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 including CxOs
- Strong understanding of cloud platforms (AWS, Azure, GCP) and familiarity with data lakehouse architecture
- 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 structured governance, stakeholder expectations management and executive-level communication
- Experience setting up delivery frameworks including Agile, Scrum or hybrid, ideally PMI/PRINCE/AGILE certification
- Comfort with ambiguity with ability to bring clarity to unstructured customer engagements
- Experience with commercial delivery aspects including change control, SoW management and margin protection
- Excellent verbal and written communication skills with ability to influence at all levels
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration