Senior Technical Program Manager, Security

Posted:
9/26/2024, 3:22:52 PM

Location(s):
California, United States

Experience Level(s):
Senior

Field(s):
IT & Security ⋅ Product

Workplace Type:
Remote

Pay:
$230/hr or $478,400 total comp


While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

 

The Office of the CSO facilitates the efficient management and growth of the Security portfolio of objectives and initiatives.

As a Senior Technical Program Manager, Security, you will work with the Security teams to help clarify project outcomes, plan milestones, and keep deliverables on track using project management and agile best practices. You will manage the end-to-end design, delivery, and communication of project execution. You will report to a PMO Leader and interact closely with other Security team leaders, other Technical Project Managers and individual contributors across the organization.

Create and guide processes across our Security teams. You'll cultivate and expand our relationships with other organizations and vendors. You'll be front and center of organizing controls, governance and standards across our teams to achieve successful outcomes.

The impact you will have:

  • You will influence team members to best clarify business needs and measurable project outcomes
  • You will plan and drive the tactical execution of project deliverables with change management considered at all phases
  • You will build a pipeline of strategic projects
  • You will determine and track project success metrics
  • You will communicate project progress and delivery to team members and leadership
  • You will identify areas of process improvement
  • You will assist in the planning processes across the Security teams
  • You will manage operational rhythm of the business: build meeting agendas, capture important insights and action items, and follow-up accordingly.

What we look for:

  • Bachelor’s degree in Computer Science/Engineering/Information Systems and a minimum of 5 years of technical program/project/relationship management experience
  • Experience leading security initiatives in highly technical environments
  • Experience leading cross-functional teams to complete projects with multiple dependencies and constraints
  • Experience defining projects, identifying risks, managing cost, coordinating scope, identifying dependencies, scheduling and deploying new products and features
  • Experience creating and cascading processes through an organization
  • Change management, enablement, or communications experience
  • Ability to build relationships with and manage diverse stakeholders remotely
  • Experience working in a high velocity, dynamic environment
  • PMI PMP Certification and/or knowledge of PMI PMP methodology
  • Experience using Agile/Scrum methodologies

U.S. Citizenship Requirement:
In order to comply with U.S. Government information security and federal contractor regulations, including Department of Defense Cloud Computing Security Requirements for Impact Level 6 Cloud Service Provider personnel, and facilitate compliance with other regulations such as FedRAMP High baseline, and requirements of certain federal contracts, this role is open to United States citizens on United States Soil only.

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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
$123,200$218,000 USD
Zone 2 Pay Range
$117,000$207,000 USD
Zone 3 Pay Range
$104,700$185,300 USD
Zone 4 Pay Range
$98,500$174,400 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 TwitterLinkedIn 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.

Databricks

Website: https://databricks.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 5001-10000

Year Founded: 2013

IPO Status: Private

Last Funding Type: Series I

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning