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 –
- 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.
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