<p>Open to remote work except in South Dakota, Vermont and West Virginia.</p><p></p>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 candidates location, qualifications, skills and experience.<p></p><p>Information about benefits can be found <a href="https://careers.nike.com/total-rewards" target="_blank">here</a>.</p><p></p><p></p><div><div><p><b><span>WHO WE ARE LOOKING FOR</span></b><span> </span></p></div><div><p><span><span>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</span><span>.  </span><span>As the Director of Intelligence in the Consumer Product &amp; Innovation (CP&amp;I) organization y</span><span>ou 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.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><b><span>WHAT YOU WILL WORK ON</span></b><span> </span></p></div><div><p><span><span>This role will lead, </span><span>support</span><span> and develop the Intelligence team members, manage priorities, and deliver results across boundaries</span><span>.  </span><span>The successful candidate is an inclusive and empowering technology leader with a history of building trust, tight </span><span>partnerships</span><span> and rapid value delivery.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><span><span>You will </span><span>be responsible for</span><span>:</span></span><span> </span></p></div><div><ul><li><p><span><span>Leading, mentoring, and managing the cross-functional Intelligence team of data scientists and machine learning engineers </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Defining and executing the Intelligence strategy aligned with business </span><span>objectives</span><span> across product merchandising, apparel and footwear design and development</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborating with product managers and business stakeholders to </span><span>identify</span><span> and transform business opportunities into value-centric data science requirements leading to data-driven solutions that deliver measurable business impact and drive growth</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Guiding the design and delivery of AI-powered features, decision-support tools, prescriptive/predictive </span><span>models</span><span> and recommender systems</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Ensuring robust model development, validation, deployment, and monitoring practices</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborating with product merchandising, apparel and footwear design and development business and technology teams to ensure scalable, secure, and integrated insights solutions</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Delivering data-driven insights in alignment with cross-functional and multi-year roadmaps and modern industry trends</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Championing the use of data science and machine learning as core enablers of merchandising and product creation excellence</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Attracting, developing, and </span><span>retaining</span><span> top talent across the Intelligence function</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Cultivating a culture of trust, innovation, and experimentation</span><span>.  </span><span>Leading teams to explore new and emerging technologies and how those can help deliver business value at scale</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><p><b><span>WHO YOU WILL WORK WITH</span></b><span> </span></p></div><div><p><span><span>As a leader in the </span><span>organization,</span><span> 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.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><b><span>WHAT YOU BRING</span></b><span> </span></p></div><div><ul><li><p><span><span>10+ </span><span>years </span><span>in advanced analytics, data science, machine learning, 5+ years in a leadership role</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Proven experience managing technical teams in advanced analytics, machine learning or applied data science within a product or technology organization</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Extensive experience with cloud tools for data science, machine learning and modeling, visualization e.g., </span><span>Jupyter</span><span> Notebooks, RStudio, pandas, </span><span>PySpark</span><span>, SageMaker, Databricks, </span><span>MLFlow</span><span>, Tableau, </span><span>PowerBI</span><span> </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Expertise</span><span> in languages like Python, R, and SQL for data manipulation, </span><span>analysis</span><span> and model building </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Demonstrated success in building and operationalizing AI/ML solutions that drive measurable business impact</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong knowledge in machine learning methods, model development lifecycle and </span><span>MLOps</span><span> practices</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>3+ years of experience building models  </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>3+ years of deep learning, neural network algorithm development </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Prediction, Forecasting, A/B testing, complex </span><span>modeling</span><span> and data analyses </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience working within large organizations or scaled Agile methodologies</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Ability to communicate complex data in a simple, actionable way to non-technical audiences and leadership teams</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>PhD in data science or related field. Will accept any suitable combination of education, experience and training</span></span></p><p></p></li></ul></div></div><p><span>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 </span><a href="https://app.smartsheet.com/b/form/5153e46a93f4460db48eb9e611386685" target="_blank">Candidate Accommodation Request Form</a><span>.</span></p><p></p>