Finance & Insurance Analytics - Director

Short Description:

Role:

This role will oversee all stages of analytics services and product development, including:

• Defining and framing business problems
• Identifying relevant data sources
• Designing and developing analytical models
• Validating model performance and effectiveness
• Leading product deployment and launch initiatives This is a high-impact leadership opportunity to shape the future of data-driven decision-making at Ford.

Scope:

Responsibilities:

• Provide strategic leadership and oversight for the Finance and Insurance Analytics teams located in the U.S. and India.
• Drive Finance modernization initiatives within the Global Data Insight and Analytics (GDIA) organization.
• Deliver actionable insights through clear, compelling communication with business stakeholders and executive leadership.
• Foster effective collaboration and negotiation across all levels of the organization to achieve business outcomes.
• Partner with Product Line Owners to generate demand and align requirements with broader business objectives.
• Establish priorities, allocate resources, and ensure high-quality and timely delivery of all associated projects.
• Act as a key liaison for technical collaboration between Finance and Insurance Analytics and other GDIA departments including DPE, AIAC, ISA, and SSDA.
• Lead strategic optimization of team resources and budgetary planning.
• Anticipate future business needs and translate them into actionable initiatives and analytics projects.
• Oversee recruitment, onboarding, and professional development of team members to foster a high-performing, diverse workforce.
• Actively participate in hiring efforts and promote diversity, equity, and inclusion across the department.

Manage purchased service engagements to support Finance and Insurance Analytics activities and delivery.

Qualifications:

Masters/bachelor’s degree in engineering or quantitative field.

• Proven hands-on expertise in

  Artificial Intelligence

  , with deep domain knowledge of

  Finance Modernization

  strategies and initiatives
• Skilled in leveraging

  big data technologies

  including SQL, Spark, and Hive to drive business insights
• Extensive experience with

  Google Cloud Platform

  and associated tools such as Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, and Power BI
• Demonstrated success in

  developing and deploying analytical models

  within cloud-based environments, particularly GCP
• Well-versed in advanced AI disciplines including

  Natural Language Processing (NLP)

  ,

  Deep Learning

  , and modern

  neural network architecture

  such as CNNs, RNNs, Embeddings, Transfer Learning, and Transformers
• Strong capabilities in

  business engagement

  , with a track record of translating complex problems into structured, impactful solutions
• Known for a meticulous attention to detail and a strong drive toward

  continuous improvement

• Adept at balancing

  innovation and analytical rigor

  , applying logical, methodical problem-solving approaches to dynamic challenges
• Highly

  articulate and credible

  communicator with strong presentation and interpersonal skills, able to influence at all levels of the organization
• Effective at

  managing multiple priorities

  , while maintaining high-quality outputs in fast-paced environments

Desired: