Center Medical Director Jobs

The Central Sales Analytics team at MongoDB sits at the center of how we understand and improve the performance of our revenue engine. While this role is rooted in Sales Analytics, its scope is broader and spans key parts of the GTM organization. This team partners closely with Sales, Sales Operations, Strategy & Planning, FP&A, Compensation, GTM Tech, and other cross-functional stakeholders to drive data-informed decisions across pipeline, productivity, forecasting, product adoption, and overall business performance. We are looking for a Sr/Staff Analyst who can operate as both a strategic thought partner and a hands-on builder. This person will lead high-impact analytics work, translate ambiguous business questions into clear analytical plans, and develop scalable data products that help leaders make better decisions faster. The right candidate combines strong business judgment with deep technical fluency in SQL and Python, and is comfortable influencing senior stakeholders while independently driving complex work from scoping through execution. This role also sits at an important intersection of GTM, Product, and Technology. In select cases, this person will work with Product and Technical teams to connect GTM insights with product signals and customer behavior, especially across GTM Tech, Atlas Core, and Emerging Products. There is also a strong expectation that this person brings an AI-forward mindset, using leading AI technologies and platforms to accelerate analysis, improve workflows, and build scalable insight-generation capabilities. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you'll do Partner with Sales, Sales Operations, Strategy & Planning, FP&A, Compensation, GTM Tech, and broader GTM stakeholders to identify high-value analytical opportunities and turn them into actionable insights Lead deep-dive analyses across pipeline health, funnel conversion, seller productivity, quota attain

About the Team OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions. We’re looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. This is a rare zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM. You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like. About the Role As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations. This role combines hands-on technical depth with executive-ready storytelling. You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world. In This Role, You Will Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions. Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems. Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy. Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-t

About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Infrastructure team is central to this mission, setting the core strategy and implementing the vision. From site selection to deployment to operations, this team sits at the intersection of commercial, technical, and operational domains, interacting with experts and executives inside and outside of OpenAI. We design and operate mission-critical facilities that support cutting-edge AI workloads at scale. About the Role We are seeking a Facilities Operations Lead to support the commissioning, deployment, and long-term operation of our next-generation AI data centers. This role bridges the interface between data center construction and hardware landing, ensuring seamless integration of mission-critical infrastructure with hardware deployment timelines. You will define and execute commissioning plans, support infrastructure bring-up, and take ownership of operations and maintenance for cutting-edge, large-scale, AI data centers. You will collaborate closely with design, construction, and hardware teams to define repeatable processes for new data center builds and lead hands-on operations to uphold the performance and reliability of our deployed infrastructure. Key Responsibilities Define and execute sequences of operations, commissioning steps, and bring-up processes for mission-critical data center facilities. Interface with the design and hardware teams to define deployment procedures tailored to each data center and hardware configuration. Oversee installation, commissioning, and operational readiness of large-scale data center campuses. Manage monitoring, maintenance, and quality control of the data center infrastructure, including high-performance liquid cooling systems. Develop on-site operations staffing strategy. Develop and enforce procedures for planed and unplanned downtime and SLAs for critical

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary This person is responsible for making outbound calls to prospective members, specifically offering our Medicare plan. The Account Associate will be making outbound calls for retention efforts, as well as providing support to sales representatives as needed. Additionally, this person will respond to incoming customer service inquiries as needed. The Account Associate should be available to work alternate hours (such as overtime or weekends) as needed, depending on business needs. Required Qualifications Must reside in Maricopa County, AZ. 1&#43; year of experience in a call center environment, with demonstrated telephone and problem resolution skills. 1&#43; year of experience with Medicaid and/or Medicare. Demonstrated proficiency in basic computer software, primarily Microsoft Office. Preferred Qualifications Bilingual (English/Spanish). Previous experience working with Quick Base. Strong organizational and time management skills. Excellent attention to detail. Self-starter, with an ability to succeed in an independent environment. Education High school diploma or GED. Anticipated Weekly Hours 40<p s

Good candidate with maintenance knowledge Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575655

Well groomed candidate with sound knowledge. Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575743

Well groomed candidate with sound knowledge. Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575806

Well groomed candidate with sound knowledge. Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575807

Good candidate with maintenance knowledge Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575657

Well groomed candidate with sound knowledge. Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575742

We have one Executive chef position open at comcast Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Facility: COMCAST INDIA - FS CHENNAI Qualification: Post graduate Experience: 9 - 15 years Source: Sodexo India | Job Code: IJP575469

Well groomed candidate with sound knowledge. Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575808

Good candidate with maintenance knowledge Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575656

Well groomed candidate with sound knowledge. Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575763

Well groomed candidate with sound knowledge. Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575772