Lead Delivery Consultant, Mandiant, Google Cloud

Minimum qualifications:

  • Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, related technical field, or equivalent practical experience.
  • 3 years of experience in Information Security industry in project management, consulting, or software development.
  • Experience with Agile methodologies and Agile project management tools.

Preferred qualifications:

  • MBA or Master’s degree with emphasis on Information Security, Information Technology, or Operations Management.
  • Agile certification.
  • Certified Information Systems Security Professional (CISSP) or equivalent certification.
  • 5 years of experience working with Information Security, infrastructure, software and/or platforms, with 2 years of experience in cloud services.
  • Highly motivated with the ability to lead cross-functional teams, drive projects to successful and timely delivery, and be flexible.

About the job

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google’s online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google’s partnerships, as well as develop product strategy and prioritize projects and resources.

As a Lead Delivery Consultant, you will be responsible for delivering on client engagements and be accountable for managing and leading workstreams composed of Mandiant and client team members. You will lead teams to achieve measurable security risk reduction. You will utilize data to inform decision-making and advise clients on risk reduction, cybersecurity best practices, and technical debt reduction techniques. You will reduce lead times associated with deploying risk remediation.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $83,000-$120,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Responsibilities

  • Oversee complex, multi-disciplinary cyber security projects from requirements gathering to outcomes, working with internal and client stakeholders to define and measure business outcomes, develop release plans, identify dependencies, and direct predictable and repeatable Security Program improvements.
  • Assess, identify, and implement cybersecurity risk reduction return on investment initiatives.
  • Use Agile ceremonies, including Release Planning, Backlog Development, and Standups.
  • Communicate schedules, priorities, and status to all levels in the company.
  • Coach and develop Delivery Team, comprised of internal and client team members, to incrementally improve throughput and quality.

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