We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. What will you make today?
At Ford Motor Credit Company, we are modernizing enterprise Core Platforms and integrating new lending platform to Google Cloud Data Platform (Data Factory), to improve Data, Analytics and AI/ML capabilities, and enhance customer experience, regulatory compliance & operational efficiencies, enabled by Google Cloud.
This position will lead integration of core data from New North America Lending platforms into Data Factory (GCP BQ), and build upon the existing analytical data, including merging historical data from legacy platforms with data ingested from new platforms. To enable critical regulatory reporting, operational analytics, risk analytics and modeling
Will provide overall technical guidance to implementation teams and oversee adherence to engineering patterns and data quality and compliance standards, across all data factory workstreams. Support business adoption of data from new platform and sunset of legacy platforms & technology stack.
This position will collaborate with technical program manager, data platform enablement manager, analytical data domain leaders, subject matter experts, supplier partners, business partner and IT operations teams to deliver the Data integration workstream plan following agile framework.
We are looking for dynamic, technical leader with prior experience of leading data warehouse as part of complex business & tech transformation. Has strong experience in Data Engineering, GCP Big Query, Data ETL pipelines, Data architecture, Data Governance, Data protection, security & compliance, and user access enablement.
Key responsibilities -
- This role will focus on implementing data integration of new lending platform into Google Cloud Data Platform (Data factory), existing analytical domains and building new data marts, while ensuring new data is integrated seamlessly with historical data.
- Will lead a dedicated team of data engineers & analysts to understand and assess new data model and attributes, in upstream systems, and build an approach to integrate this data into factory.
- Will lead the data integration architecture (in collaboration with core mod platform & data factory architects) and designs, and solution approach for Data Factory
- Will understand the scope of reporting for MMP (Minimal Marketable Product) launch & build the data marts required to enable agreed use cases for regulatory, analytical & operational reporting, and data required for Risk modeling.
- Will collaborate with Data Factory Analytical domain teams, to build new pipelines & expansion of analytical domains.
- Will lead data integration testing strategy & its execution within Data Factory (end-to-end, from ingestion, to analytical domains, to marts) to support use cases.
- Will be Data Factory SPOC for all Core Modernization program and help facilitate & prioritize backlogs of data workstreams.
- Ensure the data solutions are aligned to overall program goals, timing and are delivered with quality
- Collaborate with program managers to plan iterations, backlogs and dependencies across all workstream to progress workstreams at required pace.
- Drive adoption of standardized architecture, design and quality assurance approaches across all workstreams and ensure solutions adheres to established standards.
- People leader for a team of 5+ data engineers and analysts. Additionally manage supplier partner team who will execute the migration plan
- Lead communication of status, issues & risks to key stakeholders
You'll have…..
- Bachelor’s degree in computer science or equivalent
- 5+ years of experience delivering complex Data warehousing projects and leading teams of 10+ engineers and suppliers to build Big Data/Datawarehouse solutions.
- 10+ years of experience in technical delivery of Data Warehouse Cloud Solutions for large companies, and business adoption of these platforms to build analytics , insights & models
- Prior experience with cloud data architecture, data modelling principles, DevOps, security and controls
- Google Cloud certified - Cloud Data Engineer preferred.
- Hands on experience of the following:
- Orchestration of data pipelines (e.g. Airflow, DBT, Dataform, Astronomer).
- Batch data pipelines (e.g. BQ SQL, Dataflow, DTS).
- Streaming data pipelines (e.g. Kafka, Pub/Sub, gsutil)
- Data warehousing techniques (e.g. data modelling, ETL/ELT).
Even better, you may have….
- Master’s degree in- Computer science, Computer engineering, Data science or related field
- Knowledge of Ford credit business functional, core systems, data knowledge
- Experience in technical program management & delivering complex migration projects.
- Building high performance teams
- Managing/or working with globally distributed teams
- Prior experience in leveraging offshore development service providers.
- Experience in a Fintech or large manufacturing company.
- Very strong leadership, communication, organizing and problem-solving skills.
- 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
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year's Day
- Paid time off and the option to purchase additional vacation time
For a detailed look at our benefits, click here:
2024 New Hire Benefits Summary
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application due to a disability, please call 1-888-336-0660.
#LI-Hybrid
Read Full Description