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Global Infrastructure Product Services aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost transparency. We are embarking on a new practice area focused on strategic analytics, leveraging advanced data science techniques to optimize resource allocation and drive business value.
We are seeking a visionary leader to play a pivotal role in shaping the future of our organization by leading the development and implementation of cutting-edge data science solutions. This role is focused on collaborating closely with cross-functional teams to analyze complex datasets, extract actionable insights, and drive strategic decision-making to enhance our infrastructure product performance and support business growth.
Here’s just some of what you’ll do:
- Lead and expand a team of specialized data engineers and data analysts focused on the development and enhancement of infrastructure cost models.
- Drive the analysis of data to attribute infrastructure resource consumption to specific business drivers, providing valuable insights to inform strategic decision-making.
- Collaborate closely with cross-functional teams, providing guidance and expertise on data analysis methodologies and best practices.
- Apply advanced statistical and machine learning techniques to extract actionable insights from complex datasets related to infrastructure resource consumption.
- Lead the development of predictive models to forecast infrastructure resource needs based on historical data and projected business growth, contributing to long-term planning and optimization efforts.
- Design and develop comprehensive dashboards and reports to visualize key findings, effectively communicating complex information to stakeholders at all levels.
- Evaluate the performance of data models and algorithms on an ongoing basis, identifying areas for improvement and driving iterative enhancements to ensure optimal accuracy and efficiency.
- Stay updated on industry trends and advancements in data science and infrastructure technology, proactively incorporating innovative methodologies and tools into the organization’s practices.
- Strategize and implement advanced methodologies and tools to enhance the accuracy and effectiveness of cost attribution across various technology platforms.
- Drive the continuous improvement of cost modeling systems and processes, ensuring they remain aligned with evolving business needs and technological advancements.
- Assume product owner responsibilities for the cost allocation model, prioritizing feature development, managing roadmaps, and ensuring deliverables meet the highest standards and apply industry best practices.
- Serve as the key liaison to executive stakeholders across Technology, Finance, and Business Unit portfolio leadership, effectively communicating the strategic benefits, impact, and value of the cost allocation model.
- Collaborate closely with Finance and Global Supply Management teams to ensure alignment of Infrastructure spending with strategic business objectives and consistent correlation to the delivery of business value.
- Leverage your expertise in SQL, relational database technologies, and enterprise infrastructure to guide the team’s work and ensure the model’s accuracy and relevance.
- Oversee the integration and utilization of financial management software like ApptioOne and TBM Studio, tailoring them to meet specific organizational needs.
- Drive innovation within the team by encouraging the adoption of new technologies and methodologies for data analysis and model development.
- Ensure the team’s outputs, including data visualizations and reports, are of high quality and provide clear insights to inform strategic decisions.
- Provide mentorship and guidance to junior team members, fostering their professional development and contributing to the overall success of the data science practice area within the Global Infrastructure organization.
Qualifications
Are you up for the challenge? Here’s what you should have:
- Significant experience working in a data science role, with a proven track record of success in applying advanced analytical techniques to solve complex business problems.
- Expert proficiency in programming languages such as Python, R, or Scala, as well as in-depth knowledge of data manipulation and analysis techniques.
- Extensive experience with data visualization tools such as Tableau, Power BI, or matplotlib, and proficiency in SQL and relational databases for data querying and manipulation.
- Deep understanding of statistical techniques, machine learning algorithms, and data modeling concepts, with the ability to translate business requirements into technical solutions.
- Exceptional problem-solving skills and strategic thinking ability, with a demonstrated aptitude for driving innovation and delivering impactful results in a dynamic environment.
- Excellent communication and interpersonal skills with the ability to effectively collaborate with stakeholders across different functions and levels of the organization.
- Strong leadership capabilities, with experience leading projects or teams and a passion for mentoring and developing junior talent.
- Detail-oriented with a commitment to producing high-quality work and a continuous learning mindset with a desire to stay at the forefront of emerging trends and technologies in the field of data science and infrastructure.
- Experience with cloud platforms (e.g.: AWS, Azure, GCP) and Big Data technologies (e.g.: Hadoop, Spark) is a plus.
- Bachelor’s or advanced degree in Computer Science, Data Science, Statistics, Mathematics, or a related field a plus.
Salary Range: $170,000.00 to $255,000.00 annually + bonus + equity (if applicable) + benefits.
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
We back our colleagues with the support they need to thrive, professionally and personally. That’s why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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