About The Position

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. Are you ready to change the way the world moves? The Manufacturing Analytics (MA) team within Industrial System Analytics (ISA) of the Global Data Insights & Analytics (GDIA) organization, is focused on leveraging data to improve Ford's business decisions and operations across the globe. We act as a trusted advisor providing data, advanced analytics and AI/ML, and insights to support, optimize, and transform the Manufacturing process within Ford. Our mission is to unleash the power of data to drive value and help transform Ford through proactive, actionable, evidence-based decision making. High-touch approach to support business partners + add value to problem formulation, solution, and decision-making Play a complementary, consultative, and strategic role with our business partners, recognizing that there is also a need for day-to-day tactical support Collaborate with other GDIA functions to promote an enterprise view and enable cross-skill-team dialogue and synergy Leverage foundational GDIA capabilities like the Enterprise Data Platform and Mach1ML to benefit our business partners In this position... This is an exciting opportunity for a seasoned leader and technologist to play a crucial role in Ford's data-driven approach to business and helping the company use insights to gain a competitive advantage. We are seeking a Senior Product Line Manager- Manufacturing AI and Analytics to join out team! Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week.

Requirements

  • 6+ years of experience building and managing high performing teams that include:
  • Ability to quickly learn and understand complex environments and team dynamics
  • Deep troubleshooting skills and capabilities to lead a triage team across a complex ecosystem
  • Proven ability to build relationships with IT teams, business partners and external suppliers to drive technology transformation
  • Excellent communication, storytelling, and relationship-building skills
  • Strong strategic thinking and coordination skills, anticipating the needs of the team
  • Collaborative team player who thrives in a fast-paced environment, ability to solve problems and actively incorporate input from various sources
  • Passion to keep the teams motivated to drive for outcomes, encourage a sense of urgency, and build attention to detail
  • Values and leverages diversity and has a passion for talent development
  • 3+ years of experience leading data scientists, engineers, product managers or similar within a Manufacturing environment.

Nice To Haves

  • Master’s Degree in Computer Science, Computer Engineering, Systems Engineering or related field
  • Know the business, work experience in Manufacturing domain
  • Hands on experience developing AI/ML and optimization applications
  • Knowledge of deploying solutions on GCP
  • Ability to influence leaders and team members in a diplomatic way
  • Ability to provide a clear point of view and challenge respectfully when necessary
  • Possess a high tolerance for ambiguity and ever-changing environment
  • Willingness to mentor and teach others

Responsibilities

  • Lead a cross-functional team of data scientists, software engineers, and data engineers to build, grow and maintain the Manufacturing Analytics suite of products and services
  • Lead & facilitate strategic conversations and prioritization within the MA team, as well as with senior leaders of each domain
  • Create a roadmap aligned to Manufacturing Strategic Action Plans (SAP) and be accountable for delivery of technology solutions. Measure the effectiveness and adjust the delivery plan based on learning, user, and stakeholder feedback.
  • Manage financials – monthly forecasts and headcount across investments and operations
  • Share best practices, identify synergies & risks, duplicative efforts, team collaboration, connecting the dots across domains, etc.
  • Be the catalyst for technology, software craftsmanship, DevOps, and Agile practices to enable professionalism and culture across your teams
  • Support strategic reviews with GDIA senior leaders, governance reviews with business partners, and internal product reviews
  • Develop the PDO and technical skills of your teams with a focus on continuous improvement
  • Champion talent acquisition, engagement, and retention; Promote an engaged, diverse & inclusive global team with exciting work and rewarding careers
  • Continue to grow leadership capability within GDIA

Benefits

  • 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
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