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Director of Google Cloud Data Platform

Director of Google Cloud Data Platform

Ford

12 - 17 years

20 - 25 Lacs

Bengaluru

Posted:13 hours ago| Platform:

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Skills Required

Computer science Change management Data management GCP Artificial Intelligence Agile Application development Data quality Product support Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Responsible for executing Ford Credit s 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 m anage delivery team of 60+ in-house employees including Sr. Engineering managers, Principal engineers and data scientists/engineers & extended purchased services vendor partners teams.

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
Master s 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.

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 enterprise s 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 team s 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.

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Ford

Automotive

Dearborn

186,000 Employees

271 Jobs

Key People

Jim Farley

President and CEO
John Lawler

Chief Financial Officer
Lisa Drake

Vice President, EV Industrialization

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Director of Google Cloud Data Platform