Finance and Insurance Analytics, Director

Chennai, Tamil Nadu, India

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Ford Motor Company

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Role: We are currently hiring for the position of Director – LL5, who will serve as the owner and strategic leader of a multidisciplinary team comprising data scientists, data engineers, and software engineers. 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: Drive AI and Analytics innovation for Finance Modernization

  • 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.

Master’s/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: Extensive experience in Finance Analytics, encompassing data-driven financial insights, forecasting, performance analysis, and strategic decision support.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Big Data BigQuery Dataflow Deep Learning Engineering Finance GCP GitHub Google Cloud NLP Power BI Python Qlik Spark SQL Transformers

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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