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business development coordinator

business intelligence manager

Atlanta Community Food Bank

<div>This position works a hybrid schedule at our east point location 
Who We Are:
The Atlanta Community Food Bank is committed to ending hunger in our community by leveraging food, dedicated people, and innovative solutions to ensure that no one has to worry about their next meal. Since 1979, we&rsquo;ve provided vital resources to a growing network of nonprofit partners, including food pantries, community kitchens, childcare centers, night shelters, and senior centers. Today, we proudly serve over 700 partners across 29 counties in metro Atlanta and north Georgia, working together to create a hunger-free future.
Where You&rsquo;ll Work:
Business Intelligence and Analytics / Information &amp; Technology
About the Role:
As the Senior Manager, Data Products &amp; Analytics, you'll lead the strategy, development, and delivery of data products that help the Atlanta Community Food Bank make smarter decisions and increase our impact across Georgia. In this role, you'll partner with leaders across the organization to transform complex data into meaningful insights, modernize our analytics capabilities, and build scalable solutions that empower teams to make informed decisions. You'll also help advance the responsible use of artificial intelligence and emerging technologies, identifying opportunities to apply these capabilities to improve decision-making, increase efficiency, and extend the impact of our work.
You'll lead a team responsible for delivering trusted data, meaningful insights, and innovative analytics solutions that support the Food Bank's strategic priorities. By partnering with teams across the organization, you'll help transform data into actionable information that improves operations, strengthens decision-making, and advances our mission to end hunger.
What You&rsquo;ll Do:
 Execute Data Strategy: 
<ul><li>
Lead or co-lead workstreams in the development and maintenance of the Food Bank&rsquo;s data systems, including a data lakehouse analytics environment. Ensure data is organized, accessible, and optimized for analysis and reporting in alignment with organizational goals.</li><li>
Design and manage semantic models that unify business definitions, enable consistent reporting, and support governed self-service analytics across the organization.</li><li>
Develop and optimize DAX calculations (measures, time intelligence, row-level security) to deliver accurate, performant insights for dashboards, scorecards, and ad-hoc analysis.</li><li>
Facilitate data governance initiatives by engaging stakeholders across domains to define metrics, maintain data quality, and align on standards and access controls.</li><li>
Partner with the Information Architect to advance the Food Bank&rsquo;s enterprise data platform, including data architecture, integrations, governance, and semantic modeling capabilities.
</li><li>Collaborate with the Information Architect to ensure data products and analytics solutions align with enterprise architecture standards and long-term technology strategy.
</li><li>Lead the maturation of ACFB's data product operating model, establishing domain ownership, shared governance, and self-service analytics capabilities that align with data mesh principles.
 </li></ul>Data Products:<ul><li>
Oversee the development and lifecycle management of data products that support ACFB processes, decisions, and strategic priorities.
</li><li>Manage solutions built in Power BI, Azure, Power Platform, and Microsoft Fabric, ensuring clear documentation, stakeholder alignment, and actionable design.
</li><li>Oversee the administration and adoption of the PolicyMap environment, ensuring stakeholders have access to geographic, demographic, and community data that informs strategic decision-making and program effectiveness.
</li><li>Identify and implement automation opportunities using low-code tools, cloud services, and scripting to increase efficiency and reduce manual work.</li></ul>
 Analytics:<ul><li>
Perform and oversee analyses that explore data in business context, applying statistical techniques, performance metrics, and visualization to uncover insights.</li><li>
Lead performance management reporting and help stakeholders track key KPIs and operational benchmarks.
</li><li>Promote strong problem-solving frameworks, incorporating both exploratory analysis and structured diagnostic approaches.</li><li>
Communicate complex findings to diverse audiences through compelling storytelling, strong visualization, and consultative dialogue.</li><li>
Build trusted relationships across Food Bank departments, fostering a culture of curiosity, data fluency, and continuous improvement.
</li></ul>Leads a Successful Team:<ul><li>
Execute department strategy by translating goals and initiatives into actionable plans for the team.</li><li>
Lead, coach, and develop a high performing team of data analysts. Ensure team members are productive, engaged, and meet performance expectations.</li><li>
Provide hands-on support to team members, guiding them through challenges and offering real-time coaching and feedback.</li><li>
Monitor and evaluate team performance, implementing improvement plans and ensuring adherence to organizational standards.</li><li>
Facilitate communication between staff and upper management, ensuring clarity on expectations, priorities, and progress.</li><li>
Support hiring, onboarding, and training of new team members, ensuring they are equipped to perform their roles effectively.</li><li>
Foster a positive team environment, promoting collaboration, accountability, and strong morale within the department.
</li><li>Track and report team metrics to department leadership, identifying areas for improvement and success in meeting goals.</li></ul>
Key Competencies we look for in All our Food Bankers are:<ul><li>
Customer Focus</li><li>
Decision Making</li><li>
Accountability</li><li>
The Ability to Navigate Change</li></ul>
If you&rsquo;re excited about this role and can clearly demonstrate these and the other skills named below, we encourage you to apply. You may be just the right candidate for this or other roles!
 Skills your resume should demonstrate:<ul><li>
Demonstrated experience in analytics, data strategy, computer science or business intelligence.
</li><li>Strong command of Microsoft Azure ecosystem (Data Factory, Integration Services, Synapse, Fabric).</li><li>
Familiarity with supply chain or distribution business environments
</li><li>Demonstrated experience developing Power BI reports, managing semantic models, and automating data workflows.</li><li>
Working knowledge of geospatial tools such as ArcGIS and their integration into business intelligence use cases.
</li><li>Proven ability to translate business needs into scalable data solutions and insights.</li><li>
Excellent communication, facilitation, and relationship-building skills.</li><li>
Possess good working knowledge with Python, SQL, and PowerApps
</li><li>Team leadership or mentoring experience.</li></ul>
There may be some Physical Demands and Travel:
The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<ul><li>
Employee is routinely required to lift 25 lbs.</li><li>
Expected local travel time for this position is up to 10% per year</li></ul></div>

Senior Manager, Data Products & Analytics

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
As a Data Engineer, you will partner with Business Intelligence Engineers and partner teams to build data pipelines and solutions to harness the vast amount of operational data from the AWS fleet. You will own the timely delivery of such data for use in downstream business intelligence solutions, as well as all necessary actions to ensure the reliability of data provided for business decision making. Data analysis is at the core Amazon&rsquo;s culture, and your work will have a direct impact on decision making and strategy for our organization. 
 
The ideal candidates will have excellent analytical abilities, curiosity, and strong technical skills. They will have a strong bias toward data driven decision making, and building scalable data pipelines and systems to facilitate such decision making. They will be a self-starter; comfortable with ambiguity; able to think big and be creative, while exercising strong judgment and good instincts to be right a lot. The ideal candidate is motivated by delivering high-quality and innovative solutions within timeframes that most think are impossible. If you are excited about using data to look around corners and drive engineering solutions that are the foundation of AWS data centers, this role is for you! 
 
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 
 
Key job responsibilities 
Collaborate with Business Intelligence Engineering team members, engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into a robust, scalable, and operable data infrastructure that works well within the overall AWS data architecture, and leads to improved engineering decisions. 
 
Develop a deep understanding and awareness of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions. 
 
Develop a deep understanding of our vast data sources, and provide continuous recommendations for use to solve specific business problems. 
 
Take ownership of data reliability by, among other things, performing deep-dives to find root causes of potential data anomalies, and taking subsequent action to address these anomalies. 
 
Continuously optimize the performance of data queries, and address extract, transform, load (ETL) procedures. 
 
Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, GA, Atlanta - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, Data Center Engineering, Data Center Engineering Analytics

The Home Depot

Position Purpose: The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This position is in Decision Analytics, an internal data science support team for many areas of the business; this role specifically is involved in supporting sales growth and profitability initiatives with Customer, Delivery, and Finance areas of data. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. Key Responsibilities: 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings Direct Manager/Direct Reports: This position reports to manager or above This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 3+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Experience running queries against data (preferably with Google BigQuery or SQL) Experience in predictive modeling, data mining and data analysis Experience with data visualization software (preferably Tableau) Experience utilizing statistical techniques to identify key insights that help solve business problems Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Basic knowledge or exposure to predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 0 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Associate Data Scientist - Decision Analytics

Position Purpose: Decision Analytics associates produce insights that answer key enterprise questions around budget, priorities, courses of action, and important decisions. They develop frameworks for analysis by identifying the right metrics for consistent, effective insights that drive business outcomes. Decision Analytics associates are skilled in advanced analytics and analytical tools and languages such as GCP Big Query, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau. While they may have the ability to support model development and AI/ML work, they are primarily focused on internal business insights (i.e., business intelligence). Decision Analytics associates possess the domain expertise to understand the businesses they support with their analysis. Senior Decision Analysts assist in the development of advanced analytics to support the company's strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical tools, and collaborating with cross- functional teams to deliver high quality analytical solutions for The Home Depot. The Senior Decision Analyst monitors transformation of data and works with appropriate technology teams to resolve issues relating to incorrect mapping, business rules, and data deviations. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights for business clients, internal teams and key decision makers. The role will be enabling scaling of AB testing platform so they must have that prior experience. Solid understanding of statistics and methodologies, familiarity with Central Limit Theorem and Hypothesis Testing is ideal (z-test, t-test, chi sq testing, ANOVA etc.,) The senior analyst will be regularly exploring new methods such as Non-Parametric Testing, bootstrap methods that elevate our platform. Explore new technical landscape in the world of Experimentation and bring it to the fold for Home Depot Key Responsibilities: 65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau. 10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data. 5% - Project Management &amp; Support - Supports end users, solve problems and troubleshoots numerous issues. 15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions. 5% - Technical Exploration &amp; Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures. Direct Manager/Direct Reports: This position reports to the Manager This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be 18 years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience Understanding of the central limit theorem and hypothesis testing. 6+ years of experience in in data mining, statistical analysis, auditing, and/or forecasting Demonstrated expertise on data analysis and data visualization Demonstrated expertise on how to translate analysis into effective presentations Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools Working knowledge of Microsoft Excel and Power Point Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations Produce deep, statistical analysis in service of predictive insights Ability to partner with requesting organizations to build KPI frameworks Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML Ability to visualize data using Tableau Experience managing multiple projects and working in a fast-paced environment Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving. Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way. Superior interpersonal skills and ability to collaborate actively and work in a team environment. Ability to quickly learn and adapt to new technologies, tools, and techniques. Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job. Minimum Years of Work Experience: 5 Preferred Years of Work Experience: 6 Minimum Leadership Experience: No previous leadership experience Preferred Leadership Experience: No previous leadership experience Certifications: None Competencies: Action Oriented Collaborates Drives Engagement Communicates Effectively Customer Focus Drives Results Manages Conflict

Sr. Decision Analyst, Experimentation

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Job Location : Cary, NC (Onsite/Hybrid from Day 1)</h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader">Job Description</h2>
</div><div>We are seeking an experienced Data Scientist to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.
</div></div><div><div><h2 class="jobSectionHeader">Key Responsibilities</h2>
</div><div><ul><li>Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.</li>
<li>Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.</li>
<li>Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.</li>
<li>Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.</li>
<li>Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.</li>
<li>Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.</li>
<li>Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.</li>
<li>Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.</li>
<li>Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.</li>
<li>Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.</li>
<li>Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.</li>
<li>Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Required Qualifications</h2>
</div><div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.</li>
<li>5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.</li>
<li>Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.</li>
<li>Strong experience developing Machine Learning models using Python, preferably in cloud environments.</li>
<li>Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.</li>
<li>Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).</li>
<li>Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.</li>
<li>Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.</li>
<li>Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.</li>
<li>Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Preferred Qualifications</h2>
</div><div><ul><li>Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.</li>
<li>Experience implementing MLOps and model lifecycle management practices in cloud environments.</li>
<li>Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.</li>
<li>Experience working within highly regulated environments such as Insurance or Financial Services.</li>
</ul></div></div></div>The base compensation range for this role in the posted location is: 85786- 97273
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Data Scientist

Oscar Health

<div>Hi, we're Oscar. We're hiring a Provider Network Associate to join our Contracting team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.

About the role:

The Provider Network Associate supports the overall accessibility, availability and quality of Oscar's Provider Network through the execution of specific network development functions. This role will work in concert with various internal partners and existing and future external provider partners to meet market growth, network quality and medical costs targets. This role will support the provider recruitment, engagement and education function within the Network Management pillar of Oscar's Insurance Operation function.

You will report into the Senior Manager, Network Development

Work Location: This is a remote position based in the field, open to candidates who reside: Alabama, Arizona, Florida, Illinois, Iowa, Kansas, Michigan, Mississippi, Missouri, Nebraska, North Carolina, Ohio, Texas. Your daily work will involve a blend of work from your home office and frequent travel for client meetings. #LI-Remote

Travel requirement up to 75%

Pay Transparency:

The base pay for this role is: $87,188 - $114,434 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities:
<ul>
<li>Leverage available demographic data for current out of network providers to target recruiting for network adequacy needs based on geography, specialty, or member demographics.</li>
<li>Deploy recruiting activities in defined expansion regions based on population demographics, healthcare needs, and competitor presence</li>
<li>Assess potential provider capabilities, workflows and staffing to ensure ability to adhere to access standards and meet quality of care requirements.</li>
<li>Help develop targeted outreach strategies to attract high-quality providers in desired specialties and locations.</li>
<li>Perform daily outreach and contact with potential providers through phone calls, emails, and in-person meetings to present the benefits of joining the network.</li>
<li>Document provider outreach activities and manage provider data in a Customer Relationship Management (CRM) system.</li>
<li>Pitch the network to prospective providers and guide new providers through the process of joining the network.</li>
<li>Participate in process improvement initiatives to optimize workflows and enhance provider experience.</li>
<li>Compliance with all applicable laws and regulations</li>
<li>Other duties as assigned</li>
</ul>
Requirements:
<ul>
<li>Bachelors Degree or 4+ years of relevant experience</li>
<li>3+ years of experience in provider healthcare recruiting and contracting</li>
<li>1+ years experience in provider relations, provider services or provider recruiting, and working cross-functionally to drive growth and expansion in one or more geographical areas</li>
</ul>
Bonus points:
<ul>
<li>Experience with Customer Relationship Management (CRM) systems in a healthcare environment</li>
<li>Experience in credentialing function and credentialing software</li>
</ul><div>
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</div></div>

Provider Network Associate

United Digestive

<div><div>GENERAL SUMMARY OF DUTIES:
</div>At United Digestive, we prioritize building and maintaining strong relationships with targeted physicians and practice referral sources to drive and sustain incremental volume into our network practices. The Senior Regional Account Executive leads provider referral growth by combining hands on field outreach with strategic team leadership. This role manages a portfolio of targeted referral relationships while guiding, coordinating, and evaluating the performance of the Regional Account Executive team. The position ensures consistent execution of outreach strategies, accurate performance tracking, and continuous optimization to drive referral volume. This full time role is based in Atlanta, GA and requires regular local travel and time at headquarters.
RESPONSIBILITIES:
Duties include but are not limited to:
<ul><li>Lead field outreach and provider relationship strategies, developing targeted marketing and engagement plans in collaboration with Marketing and leadership teams
</li><li>Establish, manage, and grow relationships with referring providers, staff, and community partners through regular in person and virtual engagement
</li><li>Provide direct leadership, coaching, and performance management for a team of Regional Account Executives across multiple territories
</li><li>Develop and execute data driven territory and provider targeting strategies using CRM, referral analytics, and market intelligence
</li><li>Translate organizational growth objectives into actionable outreach plans, campaigns, and quarterly initiatives
</li><li>Oversee CRM data integrity, reporting, and communication workflows to support referral growth and performance tracking
</li><li>Monitor, analyze, and report team and program performance, delivering actionable insights through regular reports and business reviews
</li><li>Act as a key internal and external resource, resolving provider concerns, identifying new business opportunities, and strengthening referral pathways
</li><li>Coordinate community engagement activities, events, provider onboarding, and cross functional marketing initiatives
</li><li>Manage online reputation and social media presence, analyzing market trends and coordinating responses to patient and provider feedback</li></ul>
EDUCATION, SKILLS, &amp; EXPERIENCE:
Required:
<ul><li>Associate&rsquo;s degree required; equivalent combination of education and significant relevant experience accepted
</li><li>2+ years of experience in medical, pharmaceutical, or medical device sales, or healthcare provider relations
</li><li>Minimum of 2 years&rsquo; experience in a team lead, supervisory, or senior individual contributor role
</li><li>Demonstrated success in building and maintaining strong professional relationships
</li><li>Proven track record of meeting or exceeding productivity and performance targets
</li><li>Experience mentoring, coaching, or guiding peers to achieve individual and team goals
</li><li>Proficient in Microsoft Office Suite, presentation tools, and CRM software systems</li></ul>
Preferred:
<ul><li>Bachelor&rsquo;s degree in communications, marketing, healthcare administration, or a related field
</li><li>Familiarity with referral analytics tools and reporting platforms strongly preferred</li></ul>
WORK ENVIRONMENT:
Requires sitting and standing associated with a normal office environment. Must be able to lift up to 40 lbs. Daily travel within the designated region, and additional travel (nationwide) as business needs dictate.
DRUG FREE WORKPLACE:
United Digestive is a drug free workplace. All offers of employment are contingent upon passing a preemployment drug screening.
EQUAL OPPORTUNITY EMPLOYER:
United Digestive is an equal opportunity employer and will not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, veteran status, genetic information or any other legally protected classification or status.
IND123</div>

Manager of Marketing and Sales

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