Qureos Mentor

American Medical Association (AMA)

<div><div><div><div><b>Sr. Marketing and Systems Manager (Hybrid)</b></div></div><div><div><b>
Chicago, IL</b></div></div><div></div><div><div><br>
The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.</div></div><div></div><div><div><br>
At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.</div></div><div></div><div><div><br>
We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.</div></div><div></div><div><div><br>
We have an opportunity at our corporate offices in Chicago for a <b>Sr. Marketing and Systems Manager (Hybrid) </b>on our Digital Strategy team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.</div></div><div></div><div><div><br>
As a Sr. Marketing and Systems Manager, you will be responsible for leading, developing, and managing the implementation of marketing technology (MarTech) solutions and data analytics infrastructure supporting the Digital Strategy team and MMX business unit. Responsible for ensuring our MarTech stack and data and analytics capabilities align with the achievement of business objectives, i.e. audience development, membership, and brand sentiment, including the collection and utilization of first-party data. Collaborates with leaders in MMX, IT, OGC and throughout the AMA.</div></div><div></div><div><div><b><br>
RESPONSIBILITIES:</b></div><div></div><p><b><br>
Marketing Technology Strategy &amp; Management
</b></p><ul><li>Integrate and configure enterprise marketing automation, customer relationship management (CRM) and personalization software development kits (SDK) into existing applications and ensure proper functionality and performance to enable campaign activations within MMX</li><li>
Develop, implement, and manage enterprise consent management technology to comply with internal and external privacy, security, and data governance requirements</li><li>
Develop, implement, and manage stability of experimentation and testing software across enterprise applications to support MMX business objectives</li><li>
Operationalize tag management system to support analytics and reporting, as well as streamline activation of new MarTech solutions for the enterprise</li><li>
Interpret changes in digital marketing regulations and creates strategies to grow the collection and utilization of first-party data</li><li>
Communicate implementation plans to the Data Governance and Security teams and OGC and discuss routine updates on internal and external policy and procedure compliance</li></ul><p><b>
Analytics &amp; Reporting
</b></p><ul><li>Operationalize AMA instance of Google Analytics to enable enterprise website data gathering, including managing vendor relationships for annual contract renewals and budgeting requirements
</li><li>Create, manage, and integrate domain-level data layer guides to collect, store and pass data in standardized manner, interpretable by analytics software, and is in compliance with internal and external privacy and security requirements</li><li>
Develop and maintain data visualization software to enable self-service data exploration across domains and filterable by numerous variables, including timeframe, topic, objective, and attribution schema
</li><li>Collaborate and partner throughout the AMA to interpret digital metrics identify improvement opportunities to create business impact</li><li>
Collaborate with Publishing and Insurance to establish enterprise standards</li></ul><p><b>
Campaign Activation
</b></p><ul><li>Oversee the activation of experimentation campaigns, including gathering business requirements, goal setting, technology selection, and designing the test variation(s)</li><li>
Lead on-going analytics review to interpret results, determine statistical significance, and set campaign end dates, and recommend new experiments and campaigns based on data and business performance</li><li>
Collaborate with Product, Membership and Marketing teams to design experiments to inform development roadmaps based on emerging market and business needs</li></ul><p><b>
Staff Management
</b></p><ul><li>Lead, mentor and provide management oversight for professional staff</li><li>
Responsible for setting objectives, evaluating performance and developing staff</li><li>
Identify opportunities for advancing staff skills and expertise</li></ul></div><div><div><b>
May include other responsibilities as assigned</b></div></div><div></div><div><div><b><br>
REQUIREMENTS:</b></div><ul><li>
Bachelor&rsquo;s Degree required; concentration in Marketing, Communications, Computer Science, User Experience, or other related coursework preferred</li><li>
7+ years of experience leading digital analytics, marketing technology, and/or digital development activities</li><li>
3+ years experience with staff management, with proven ability to lead full-time and contract resources</li><li>
Digitally-savvy and customer-centric, with a proven ability to interpret digital data and translate it into action/opportunities</li><li>
Proven ability to communicate with highly technical resources and roll-up sleeves to deliver solutions</li><li>
Exceptional time and project management skills, with focus on process improvement and workflow efficiency</li><li>
Superior written and oral communication skills, including experience presenting in a large group setting, with an ability to handle both technical deep dives, as well as use natural language to explain benefits of new technology and applications</li></ul><p></p><p><b><br>
Technical Skills:</b></p><ul><li>
Proficiency in using Google Analytics, Google Tag Manager, Quantum Metric, Optimizely, VWO, Salesforce Marketing Cloud, Qualaroo, PowerBI, or other similar applications</li><li>
Experienced with Structured Query Language (SQL), or similar conditional logic programming</li><li>
Experienced with CMS, for example Drupal or WordPress</li><li>
Experienced in use of JIRA, Asana, MS Office, other similar applications</li></ul></div></div><div></div><div><div><br>
The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.</div></div><div></div><div><div><br>
This role is an exempt position, and the salary range for this position is $119,074-$157,855. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee&rsquo;s pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association&rsquo;s benefits offerings, please click here.</div></div><div></div><div><div><br>
We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant&rsquo;s race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.</div></div><div></div><div><div><b><br>
THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION</b></div></div></div>

Sr. Marketing and Systems Manager (Hybrid)

<div><div><div><div><b>Sr. Data Engineer (Hybrid)</b></div></div><div><div><b>
Chicago, IL</b></div></div><div><div>
The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.</div></div><div></div><div><div><br>
At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.</div></div><div></div><div><div><br>
We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.</div></div><div></div><div><div><br>
We have an opportunity at our corporate offices in Chicago for a <b>Sr. Data Engineer (Hybrid) </b>on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.</div></div><div></div><div><div><br>
As a Sr. Data Engineer, you will play a key role in implementing and maintaining AMA&rsquo;s enterprise data platform to support analytics, interoperability, and responsible AI adoption. This role partners closely with platform engineering, data governance, data science, IT security, and business stakeholders to deliver high‑quality, reliable, and secure data products. This role contributes to AMA&rsquo;s modern lakehouse architecture, optimizing data operations, and embedding governance and quality standards into engineering workflows. This role serves as a senior technical contributor within the team&mdash;providing mentorship to junior engineers and implementing engineering best practices within the data platform function, in alignment with architectural direction set by leadership.</div></div><div></div><div><div><b><br>
RESPONSIBILITIES:</b></div><div><b>
Data Engineering &amp; AI Enablement</b></div><ul><li>
Build and maintain scalable data pipelines and ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use cases.</li><li>
Implement best practice patterns for ingestion, transformation, modeling, and orchestration within a modern lakehouse environment (e.g., Databricks, Delta Lake, Azure Data Lake).</li><li>
Develop high‑performance data models and curated datasets with strong attention to quality, usability, and interoperability; create reusable engineering components and automation.</li><li>
Collaborate with the Architecture Team, the Data Platform Lead, and federated IT teams to optimize storage, compute, and architectural patterns for performance and cost‑efficiency.</li><li>
Build model-ready data sets and feature pipelines to support AI/ ML use cases; serve as a technical coordination point supporting business units&rsquo; AI-related infrastructure needs.</li><li>
Collaborate with data scientists and AI Working Group to operationalize models responsibly and maintain ongoing monitoring signals.</li></ul><div></div><div><b><br>
Governance, Quality &amp; Compliance</b></div><ul><li>
Embed data governance, metadata standards, lineage tracking, and quality controls directly into engineering workflows; ensure technical implementation and alignment within engineering workflows.</li><li>
Work with the Data Governance Lead and business stakeholders to operationalize stewardship, classification, validation, retention, and access standards.</li><li>
Implement privacy‑by‑design and security‑by‑design principles, ensuring compliance with internal policies and regulatory obligations.</li><li>
Maintain documentation for pipelines, datasets, and transformations to support transparency and audit requirements.</li></ul><div></div><div><b><br>
Platform Reliability, Observability &amp; Optimization</b></div><ul><li>
Monitor and troubleshoot pipeline failures, performance bottlenecks, data anomalies, and platform‑level issues.</li><li>
Implement observability tooling, alerts, logging, and dashboards to ensure end‑to‑end reliability.</li><li>
Support cost governance by optimizing compute resources, refining job schedules, and advising on efficient architecture.</li><li>
Collaborate with the Data Platform Lead on scaling, configuration management, CI/CD pipelines, and environment management.</li><li>
Collaborate with business units to understand data needs, translate them into engineering requirements, and deliver fit-for-purpose data solutions; share and apply best practices and emerging technologies within assigned initiatives.</li>
Work with IT Security and Legal/ Compliance to ensure platform and datasets meet risk and regulatory standards.<br>
<li>
</li></ul><div><b>Staff Management</b></div><ul><li>
Lead, mentor, and provide management oversight for staff.</li><li>
Responsible for setting objectives, evaluating employee performance, and fostering a collaborative team environment.</li><li>
Responsible for developing staff knowledge and skills to support career development.</li></ul></div><div></div><div><div><b><br>
May include other responsibilities as assigned</b></div></div><div></div><div><div><b><br>
REQUIREMENTS:</b></div><br>
<div></div><ul><li>
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.</li><li>
5+ years of experience in data engineering within cloud environments</li><li>
Experience in people management preferred.</li><li>
Demonstrated hands-on experience with modern data platforms (Databricks preferred).</li><li>
Proficiency in Python, SQL, and data transformation frameworks.</li><li>
Experience designing and operationalizing ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and CI/CD processes.</li><li>
Solid understanding of data modeling, structured/unstructured data patterns, and schema design.</li><li>
Experience implementing governance and quality controls: metadata, lineage, validation, stewardship workflows.</li><li>
Working knowledge of cloud architecture, IAM, networking, and security best practices.</li><li>
Demonstrated ability to collaborate across technical and business teams.</li><li>
Exposure to AI/ML engineering concepts, feature stores, model monitoring, or MLOps patterns.</li><li>
Experience with infrastructure‑as‑code (Terraform, CloudFormation) or DevOps tooling.</li></ul><div></div><div><br>
 The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.</div></div></div><div></div><div><div><br>
This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee&rsquo;s pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association&rsquo;s benefits offerings, please click here.</div></div><div></div><div><div><br>
We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant&rsquo;s race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.</div></div><div></div><div><div><b><br>
THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION</b></div></div></div>

Sr. Data Engineer (Hybrid)

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American Medical Association (AMA)

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Sr. Marketing and Systems Manager (Hybrid)

Sr. Data Engineer (Hybrid)