Werde Teil des Teams von NIKE, Inc. Team
NIKE, Inc. stattet nicht nur die besten Athleten der Welt aus. Wir erkunden neue Möglichkeiten, finden Wege und überwinden die Grenzen des Machbaren. Unser Unternehmen sucht nach Menschen, die wachsen, denken, träumen und gestalten möchten. Unsere Unternehmenskultur schätzt Vielfalt und belohnt Einfallsreichtum. Unsere Marke sucht Menschen, die ihre Ziele erreichen, Führungsfähigkeiten haben und den Blick in die Zukunft richten. Bei NIKE, Inc. bringen alle Mitarbeiterinnen und Mitarbeiter ihre Fähigkeiten ein und nehmen immer neue Herausforderungen mit Leidenschaft an.
Open to remote work except in South Dakota, Vermont and West Virginia.
The annual base salary for this position ranges from $178,900.00 in our lowest geographic market to $376,600.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.Information about benefits can be found here.
WHO WE ARE LOOKING FOR
We are looking for visionary and value-driven Director of Intelligence to lead our data science and machine learning teams in support of digital transformation across product merchandising and apparel and footwear design and development. As the Director of Intelligence in the Consumer Product & Innovation (CP&I) organization you will lead the strategic application of data science and machine learning to drive rapid value delivery through improved decision-making and automated workflow across the Nike product creation lifecycle.
WHAT YOU WILL WORK ON
This role will lead, support and develop the Intelligence team members, manage priorities, and deliver results across boundaries. The successful candidate is an inclusive and empowering technology leader with a history of building trust, tight partnerships and rapid value delivery.
You will be responsible for:
Leading, mentoring, and managing the cross-functional Intelligence team of data scientists and machine learning engineers
Defining and executing the Intelligence strategy aligned with business objectives across product merchandising, apparel and footwear design and development
Collaborating with product managers and business stakeholders to identify and transform business opportunities into value-centric data science requirements leading to data-driven solutions that deliver measurable business impact and drive growth
Guiding the design and delivery of AI-powered features, decision-support tools, prescriptive/predictive models and recommender systems
Ensuring robust model development, validation, deployment, and monitoring practices
Collaborating with product merchandising, apparel and footwear design and development business and technology teams to ensure scalable, secure, and integrated insights solutions
Delivering data-driven insights in alignment with cross-functional and multi-year roadmaps and modern industry trends
Championing the use of data science and machine learning as core enablers of merchandising and product creation excellence
Attracting, developing, and retaining top talent across the Intelligence function
Cultivating a culture of trust, innovation, and experimentation. Leading teams to explore new and emerging technologies and how those can help deliver business value at scale
WHO YOU WILL WORK WITH
As a leader in the organization, you will partner closely with business and technology leadership, product managers, principal engineers, and peer leaders across Merchandising and Product Creation teams to manage priorities and drive alignment.
WHAT YOU BRING
10+ years in advanced analytics, data science, machine learning, 5+ years in a leadership role
Proven experience managing technical teams in advanced analytics, machine learning or applied data science within a product or technology organization
Extensive experience with cloud tools for data science, machine learning and modeling, visualization e.g., Jupyter Notebooks, RStudio, pandas, PySpark, SageMaker, Databricks, MLFlow, Tableau, PowerBI
Expertise in languages like Python, R, and SQL for data manipulation, analysis and model building
Demonstrated success in building and operationalizing AI/ML solutions that drive measurable business impact
Strong knowledge in machine learning methods, model development lifecycle and MLOps practices
3+ years of experience building models
3+ years of deep learning, neural network algorithm development
Prediction, Forecasting, A/B testing, complex modeling and data analyses
Experience working within large organizations or scaled Agile methodologies
Ability to communicate complex data in a simple, actionable way to non-technical audiences and leadership teams
PhD in data science or related field. Will accept any suitable combination of education, experience and training
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
UNSER REKRUTIERUNGSPLAN
01 Bewerben
Unsere Teams leben von einer Vielfalt an Kompetenzen, Fähigkeiten, Denkweisen, Ideen und Erfahrungen. Wir möchten, dass du die für dich richtige Stelle findest. Sieh dir Stellenbeschreibungen, Abteilungen und Teams an und finde heraus, welche Rolle zu dir passt.
02 Recruiter:in treffen oder an Beurteilung teilnehmen
Wenn du für eine Stelle im Unternehmen ausgewählt wirst, setzt sich ein:e Recruiter:in mit dir in Verbindung, um das Vorstellungsgespräch einzuleiten und dir während des gesamten Prozesses als Hauptansprechpartner:in zur Seite zu stehen. Bei Stellen im Retail-Bereich nimmst du an einer interaktiven Beurteilung teil, die ein Gespräch und Quizfragen umfasst und etwa 10 bis 20 Minuten dauert. Egal, welche Rolle du anstrebst, wir möchten dich als ganze Person kennenlernen. Zögere also nicht, uns zu zeigen, was erstklassiger Service für dich bedeutet und was dich einzigartig macht.
03 Vorstellungsgespräch
Bereite dich gut auf diese Phase vor, indem du recherchierst, dich über unsere Anforderungen informierst und dich auf Fragen zu deiner Person und deinen Erfahrungen einstellst.
