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Data and Operations Analytics Manager

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: NTT DATA North America
Seasonal/Temporary position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company’s growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.

For more than 25 years, NTT DATA have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.

NTT DATA currently seeks a Data and Operations Analytics Manager to join our team for a temp to hire, remote role in North Carolina.

Position Summary

Seeking a Manager, Data and Operational Analytics to lead data architecture and operational analytics initiatives. This role is central to advancing the mission to improve the health and quality of life of all North Carolinians by strengthening community-based healthcare delivery systems. The ideal candidate brings strong expertise in data architecture and management, vendor and customer relations, and a deep understanding of healthcare data and emerging industry standards.

Essential

Functions
  • Coordinate with internal stakeholders and the value-based care vendor to ensure platform data meets business needs and quality standards. Lead the design, development, and implementation of analyses, insights, and products to support these requirements.
  • Direct ongoing development of enterprise care management and payer-based analytics, including supplemental reporting to payers, data integrity oversight, dashboard design, customer engagement, and project management. Manage multiple phases of product design and rollout, and support provider representatives in effectively using analytics to improve care coordination.
  • Partner with executive leadership and the value-based vendor to shape and implement the evolving product vision.
  • Develop new and standardized clinical interfaces for ingesting EMR data using standards such as FHIR and HL7.
  • Oversee team deliverables, ensure accuracy and prioritization of requests, and coordinate reporting to executives, business leads, and end users.
  • Lead reviews of data integrity and coding issues, assessing impact on product quality and designing or delegating corrective actions.
  • Collaborate across analytic teams on overlapping projects and responsibilities.
  • Lead and mentor team members, fostering continuous development, a positive work environment, and a culture of professional excellence.
Staff Management
  • Provide effective leadership in recruitment, selection, retention, training, evaluation, compensation, and professional development.
  • Ensure staff remain well trained and compliant with organizational and departmental policies, procedures, and goals.
  • Promote a positive, diverse, and inclusive working environment built on trust.
  • Apply standards consistently, transparently, and ethically across all staff.
  • Conduct performance evaluations, set goals aligned with organizational priorities, and manage staff to meet deadlines and expectations.
  • Partner with Finance, HR, and other departments to develop resource-allocation strategies that support program outcomes and manage personnel costs.
  • Use conflict-resolution and problem‑solving skills to address issues in a timely manner.
  • Mentor and coach staff to support growth and performance improvement.
Required Skills/Experience
  • Advanced degree in analytics, statistics, mathematics, quantitative analysis, or a related field, or equivalent experience.
  • At least 5 years of experience in an analytics/data analysis environment, including extensive work with healthcare data and reporting.
  • Minimum 3 years of experience as a lead or senior analyst.
Preferences
  • Experience in data management, data operations, or data analysis in a cloud-based environment; exposure to Snowflake or AWS…
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