Director of Google Cloud Data Platform
Director of Google Cloud Data Platform
Posted on :
08-07-2025
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1 Vacancy
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Job Description
Description
Responsibilities
Qualifications
Responsible for executing Ford Credits multiyear Google cloud transformation strategy for Data platforms. Leading enterprise goal of building a modern scalable secure & high availability Datawarehouse in Google cloud to enable customer centric view of data and enables enterprise AI strategy and roadmap. Mentor and manage delivery team of 60 in-house employees including Sr. Engineering managers Principal engineers and data scientists/engineers & extended purchased services vendor partners teams.
Responsibilities
- Accountable for supporting the creation of the modern Datawarehouse platform in Google Cloud that enables Analytics insights & AI/ML at speed.
- Managing stakeholders and projects collaborating on prioritization strategies roadmaps architecture & features delivery
- Leading enablement of new GCP BQ capabilities & engineering patterns for enterprise-wide adoption.
- Accountable for ensuring banking regulatory compliance & reporting
- Provide technical leadership in design & delivery of Google cloud data platform using agile practices and delivering continuous business value
- Drive business adoption of new scalable and reliable data platform for enterprises data analytics Insights & AI/ML modeling requirements
- Collaborate with Architects and cross functional application/product teams and Ford Data Factory team to integrate data solutions required to support multiple parallel projects
- Familiarity with hands-on development of reusable solution patterns with advanced GCP tools & guide teams on how to effectively use these tools
- Be the trusted partner of business customers and engineering teams in solving technical and business problems.
- Effectively manage teams priorities backlogs and help remove roadblocks to drive key business results
- Lead communication of status issues & risks to key stakeholders
- Stay abreast on technology advancements and ensure team keeps updated on skills
- Experience leading large team of data engineers & developing talent performance management.
- Leverage cloud AI/ML Platforms to deliver business and technical requirements. Manage data engineers and ML engineers that work with teams of data scientists data analysts and architects to successfully deliver ML/AI projects.
Qualifications
Must Have Skills
- 12 years of technical leadership experience in delivery of Data Warehouse Solutions on prem or on cloud for large companies and business adoption of these platforms to build insights & analytics
- 15 years experience leading technical teams delivery complex projects using Agile methodologies and product support of those solutions.
- 10 managing global supplier/cost effective sourcing partners.
- Solid knowledge of cloud data architecture data modelling principles DevOps Data compliance global (North America/Europe) data protection laws security and data governance
- Very strong leadership and communication skills exhibiting right negotiating posture with customer and program teams to make the right decisions.
- Demonstrated experience required in engineering Data warehouse solution in Google or other cloud systems.
- Driven and managing complex projects & aggressive timelines
- Google Cloud certified professional Data Engineer
- Masters degree in- Computer science Computer engineering Data science or related field
- Experience on Google cloud with deep understanding and design and development experience with Google Cloud Platform products on Infrastructure Data management Application Development Smart Analytics Artificial Intelligence Security and DevOps
- Knowledge of most of the following:
- Extract Transform and Load (ETL) & Big Data Tools: BigQuery Cloud Dataflow Cloud Proc Cloud Pub/Sub Cloud Composer Google Data Studio Google Cloud Storage.
- Data Quality and Governance
- Designing building and deploying ML pipelines (MLOps) to solve business challenges using Python/BQML/Vertex AI on GCP. Work closely with data scientists to help deploying their models.
- Proven track of managing large global budgets and organization change management.
- Ability to negotiate with and influence stakeholders & drive forward strategic data transformation
- Quick learner self-starter energetic leaders with drive to deliver results.
- Empathy and care for customers and teams as a leader guide teams on advancement of skills objective setting and performance assessments.
Good to Have Skills
- Experience in technical program management & delivering transformational projects
- Building high performance teams
- Managing/or working with globally distributed teams
- Prior experience in leveraging offshore development service providers
- Experience in a Fintech/Banking or large manufacturing company.
Required Experience:
Director
Employment Type
Full-Time
Key Skills
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