Ford

Compensation

Full Description

Collaborate with other GDIA functions to promote an enterprise view and enable cross-skill-team dialogue and synergy 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 Established and active employee resource groups 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. 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 Visa sponsorship is not available for this position. Verification of employment eligibility will be required at the time of hire.