Manager, SLS Performance Ops, Global SLS

Amazon.com Inc

Nashville, TN

JOB DETAILS
SKILLS
Alliance/Partner Management, Artificial Intelligence (AI), Business Intelligence, Capacity Management, Case Management, Continuous Improvement, Cross-Functional, Customer Escalations, Ecosystems, Leadership, Metrics, Operational Support, Operations Management, Performance Management, Productivity Model, Project Tracking, Quality Assurance, Quality Assurance Methodology, Quality Metrics, Reporting Dashboards, Risk, Scorecarding, Service Level Agreement (SLA), Standard Operating Procedures (SOP), Team Lead/Manager, Time Management, Training Program, Trend Analysis
LOCATION
Nashville, TN
POSTED
27 days ago

Lead the global scaling of DSP Scorecard case management operations through AI-powered operational excellence. As Manager of SLS Performance Ops, you"ll drive the worldwide expansion of our Scorecard case management operations, leveraging AI/ML models to increase resolution velocity while maintaining 95%+ quality standards. This role offers the unique opportunity to build the operational framework that will scale case management globally, directly impacting thousands of DSP partners and shaping the future of our performance management ecosystem.

The ideal candidate combines strong people leadership with technical acumen and a passion for operational innovation. You"ll lead a team of Operations Leads and Specialists while establishing the mechanisms, quality standards, and capacity planning models that ensure our Scorecard case management operations can scale globally. This position requires someone who thrives in fast-paced environments, excels at cross-functional partnership management, and can balance strategic vision with hands-on operational execution. You"ll be instrumental in building the foundation for worldwide expansion.

Key job responsibilities

  • Lead and develop a team of SLS Operations Leads and Specialists across Scorecard case management, quality assurance, and operational support functions
  • Leverage AI and ML models to increase case resolution velocity and consistency while maintaining critical human judgment for high-stakes decisions
  • Maintain 95%+ quality scores through joint quality mechanisms with partner teams, including quality reviews, quality assurance processes, and clear escalation paths
  • Own and drive operational and business goals/metrics including SLA compliance, Average Handle Time reduction, and case resolution rates
  • Run Weekly Ops WBR, Scorecard Case Management MBR, and SLS Operations QBR to track progress, identify improvement opportunities, and provide leadership visibility
  • Create operational readiness framework for scaling Scorecard case management globally, including capacity planning models, SOP standardization across regions, and training programs
  • Drive closed-loop processes to root cause case outcomes and enable continuous improvement
  • Build Operational Risk Dashboards to flag gaps in aging cases, SLA compliance, or manual errors for immediate intervention
  • Partner with BI teams to establish enhanced data infrastructure for robust event-level reporting and trend analysis
  • Manage workflow, handle escalations, and proactively delegate workload across the team to meet timeline-driven commitments
  • Foster a culture of quality, innovation, and continuous improvement

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles