Job Summary: The Senior Manager Artificial Intelligence is responsible for the overall direction of all technical services functions associated with Artificial Intelligence (AI) and Machine Learning (ML) applications. This position will report into the Information Technology Solutions (ITS) group. This position provides the strategic direction on compliance for the design, development, and implementation of AI and ML models into operational workflows, including helping draft and review the procedures that support a compliance system. Additional responsibilities may include guiding AI teams with project planning, system architecture, risk management, verification & validation, and continuous monitoring. Additionally, the Senior Manager consults with multiple stakeholders to help guide the enterprise’s best practices, including data quality, good machine learning practices, and monitoring the effectiveness of AI and ML models throughout their life cycle. A multidisciplinary approach that unifies key stakeholders and subject matter experts is a driver of the Manager AI role and responsibilities.
Work Location: Remote
Key Responsibilities:
- Building and executing an AI/ML roadmap for Rackspace across all of its businesses and functions.
- Identifying opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models leading a team of data scientists.
- Providing first class machine learning and strategic input to projects and ongoing operations; leading thinking and strategic planning for design, implementation, and direction of AI/ML initiatives and able to get business leaders excited based on the ability to drive business impact using AI/ML strategies.
- Driving internal awareness and strategy for adoption of emerging machine learning methodologies through the execution of an effective communication plan.
- Effectively partnering with Data Engineering team to help drive the execution of a successful data strategy on how best to drive the evolution of Rackspace data lake.
- Creating algorithms to extract information from large, multiparametric global data sets.
- Deploying algorithms to production to identify actionable insights from large data sets.
- Developing and embedding automated processes for predictive model validation, deployment, and implementation.
- Working closely with Rackspace internal businesses leaders to ensure that the insights created from the AI/ML models are effectively translated into action that creates business impact.
- Building and maintaining an effective and impactful external network to drive the continued evolution in Rackspace’s AI/ML competencies through learning and partnering.
Qualifications:
- Cloud certifications such as GCP/AWS/Azure Professional Data Engineer or Microsoft Data / AI certifications
- 7+years of experience in the field of role required
- Knowledge include Python, Scipy, Pandas, Jupyter and other machine learning tools and libraries.
- Knowledge with neural networks, computer vision, language processing, big data processing, or other machine learning sub-domains is desired.
- Familiarity with data engineering languages and platforms, such as SQL, Spark or Hadoop, is desired.
- Familiarity with managed machine learning services on a major cloud platform is also desired
The following information is required by pay transparency legislation in the following states: CA, CO, HI, NY, and WA. This information applies only to individuals working in these states.
The anticipated starting pay range for Colorado is: $136,600-$182,100.
The anticipated starting pay range for the states of Hawaii and New York (not including NYC) is: $149,500-$199,300.
The anticipated starting pay range for California, New York City and Washington is: $149,500-$199,300.
Unless already included in the posted pay range and based on eligibility, the role may include variable compensation in the form of bonus, commissions, or other discretionary payments. These discretionary payments are based on company and/or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. Information on benefits offered is here.
#LI-STORM
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
