Director of Google Cloud Data Platform

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 manage delivery team of 60+ in-house employees including Sr. Engineering managers, Principal engineers and data scientists/engineers & extended purchased services vendor partners teams.

• 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.

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 – 

1. Experience in technical program management & delivering transformational projects
2. Building high performance teams
3. Managing/or working with globally distributed teams
4. Prior experience in leveraging offshore development service providers
5. Experience in a Fintech/Banking or large manufacturing company.