data engineer

office manager

data analyst

administrative manager

administrative support manager Jobs in New York

administrative support manager

data manager

Columbia University

<div><ul><li>Job Type: Officer of Administration</li>
<li>Bargaining Unit:</li>
<li>Regular/Temporary: Regular</li>
<li>End Date if Temporary:</li>
<li>Hours Per Week: 35 hours</li>
<li>Standard Work Schedule:</li>
<li>Building:</li>
<li>Salary Range: $85,000.00-$110, 000.00</li>
</ul><div><i>The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.</i></div><br>
<div></div>
<p></p>
<p>Position Summary</p>
<ul>
<li>The Taub Institute and Sergievsky Center seek a Data Manager to support several federally funded, multi-center studies. Reporting to the Principal Investigator and Project Manager, the incumbent will manage the storage, querying, and integration of genetics and clinical data. This role includes proactively assessing database hardware and software to improve efficiency and performance, and recommending and implementing upgrades to support project goals and activities. The Data Manager will adhere to university policies, technical standards, and best practices to ensure operational excellence</li>
</ul>
<p></p><p>Responsibilities</p>
<ul>
<li>Managing the storage and querying of various genetics data (GWAS, WES, WGS).</li>
<li>Linking genetics to clinical data.</li>
<li>Testing programs or databases, correcting errors, and making necessary modifications.</li>
<li>Specifying users and user access levels for each segment of the database.</li>
<li>Writing and coding logical and physical database descriptions and specifying identifiers of the database to the management system, or directing others in coding descriptions.</li>
<li>Working as part of a project team to coordinate database development and determine project scope and limitations.</li>
<li>Reviewing procedures in database system manuals for making changes to the database.</li>
<li>Reviewing data requests with the Project Manager to estimate time required to accomplish projects.</li>
<li>Performing quality control on data requests and working with the Project Manager before distributing to investigators and/or analysts.</li>
<li>Maintaining database systems for various genetic projects.</li>
<li>Assisting with the development and implementation of tools for genetics analysis.</li>
<li>Performing quality control, assembly, annotation, and analysis of genetic subtyping data.</li>
<li>Fulfilling required IRB compliance trainings.</li>
<li>Working with analysts and other subject matter experts in the merging and quality control of incoming and outgoing data.</li>
<li>Independently providing feedback to database users.</li>
<li>Preparing reports and data files as requested.</li>
<li>Managing and performing quality control on data for various genetic projects; and inventory of the laboratory database.</li>
<li>Assisting with laboratory projects by creating properly structured working files.</li>
<li>Performing other related duties and responsibilities as assigned/requested.</li>
</ul>
<p></p><p>Minimum Qualifications</p>
<ul>
<li>Requires a bachelor&rsquo;s degree or equivalent in education and experience, plus four (4) years of related experience.</li>
</ul>
<p></p><p>Preferred Qualifications</p>
<ul><li>2-4 years of experience in database management.</li></ul>
<ul><li>Master of Science degree in a scientific discipline related to the responsibilities of the position (i. e. Bioinformatics, CS, Biology, Microbiology, etc.)</li></ul>
<ul><li>Extensive SQL and MS Excel knowledge</li></ul>
<ul><li>Experience working with Clinical and genomic data.</li></ul>
<ul><li>Experience maintaining data using MS Excel, SPSS, and Progeny.</li></ul>
<ul><li>Experience with MS Excel VBA, Shell Script, AWK.</li></ul>
<ul><li>Familiarity with sequenced and Multiomics data.</li></ul>
<ul><li>Ability to work independently and yet to maintain the flexibility to respond to requests for support of ongoing projects.</li></ul>
<p></p>
<p>Equal Opportunity Employer / Disability / Veteran</p>
<p>
Columbia University is committed to the hiring of qualified local residents.</p></div>

Data Manager

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Worldwide Grocery Stores (WWGS) is seeking an experienced manager to lead our Marketing Analytics team across Whole Foods Market, Amazon Fresh, and new grocery channels and store formats.
<br>
This role will define and execute the analytics strategy that enables data-driven decisions across our growing portfolio of grocery businesses. You will build and scale analytics capabilities to measure marketing effectiveness across all channels including email, push notifications, paid media, organic search, and onsite experiences. You will lead a team managing complex, cross-functional analytics challenges where problems and solutions are not clearly defined. You will navigate ambiguity and define the right problems to solve, balancing short-term tactical needs with long-term strategic investments. You will build a strong, inclusive team where members feel empowered to take ownership and deliver results. You are passionate about creating scalable solutions, automating manual processes, and establishing mechanisms that drive continuous improvement. Your team will partner closely with Marketing, Finance, Business Intelligence Engineers (BIE), Data Science, and other Analytics teams to deliver automated reporting, dashboards, and insights that inform strategic decisions.<br>
The ideal candidate has deep expertise in marketing analytics, understands how to measure campaign performance and attribution across multiple channels, and is equally comfortable diving deep into technical details with BIE and presenting strategic recommendations to Director and VP leaders. You are a strong communicator who can influence without authority, build consensus across diverse stakeholders, and translate technical complexity into clear business narratives.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead the WWGS Marketing Analytics team to deliver automated reporting, dashboards, and insights that enable marketing leaders to optimize channel investments and drive customer engagement across Whole Foods Market, Amazon Fresh, and new grocery formats.</li><li>Define and execute the analytics strategy for measuring marketing effectiveness across all channels including email, push notifications, paid media, organic search, and onsite experiences.</li><li>Partner with Marketing, Finance, BIE, and Consumer Insights teams to understand business needs and translate them into analytical solutions with clear success criteria.</li><li>Drive the automation of manual reporting processes by partnering with BIE to build data pipelines and self-service dashboards that scale analytics capabilities.</li><li>Deliver automated inputs for Weekly Business Reviews, Monthly Business Reviews, Monthly Performance Reports, and Quarterly Planning Reports that provide marketing leaders with timely, accurate insights on campaign performance and business trends.</li><li>Establish measurement frameworks and analytical standards that ensure consistent, high-quality outputs across all WWGS marketing analytics initiatives.</li><li>Build and maintain dashboards using tools such as QuickSight, Tableau, or similar platforms to enable self-service access to marketing performance metrics.</li><li>Define team goals, allocate resources, and manage project timelines to balance tactical delivery against strategic capability-building.</li><li>Recruit, develop, and retain bar-raising talent with skills in marketing measurement, statistical analysis, data engineering, and business intelligence.</li><li>Provide regular performance feedback, facilitate career development conversations, and create opportunities for team members to grow their skills and advance their careers.</li><li>Present analytical findings and strategic recommendations to Director and VP leaders, influencing marketing investment decisions and strategic priorities.</li><li>Identify opportunities to improve analytical processes, reduce manual work, and eliminate defects through automation, standardization, and quality controls.</li><li>Navigate ambiguity by defining problems, establishing measurement approaches, and making high-judgment trade-offs between competing priorities.</li><li>Foster a culture of inclusion, psychological safety, and continuous learning where team members feel empowered to contribute ideas and challenge assumptions.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Engineering, Math, Business, or a related quantitative field</li><li>5+ years of business analyst, data analyst or an equivalent role experience</li><li>Experience in management directly</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in Business, Economics, Statistics, Engineering, or a related field</li><li>Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)</li><li>Experience in retail, consumer packaged goods, or grocery industry with understanding of marketing dynamics and customer behaviors specific to these sectors.</li><li>Experience leading analytics teams to deliver automated reporting, dashboards, and insights that inform strategic business decisions.</li><li>Experience with marketing measurement methodologies including campaign performance analysis, attribution modeling, incrementality testing, and customer segmentation.</li><li>Experience with marketing attribution modeling, marketing mix modeling, or multi-touch attribution approaches.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, NY, New York - 157,100.00 - 212,600.00 USD annually<br>
USA, TX, Austin - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Manager, Marketing Analytics

American Express

<div><p>The Analytics, Investments and Marketing Enablement (AIM) team - within Global Commercial Services Marketing (GCSM) - is the analytics engine powering Commercial customer acquisition, engagement, and retention. AIM develops insights, data products, and analytical solutions that shape smarter marketing and customer experiences.
</p><p>This role sits within AIM and supports customer lifecycle marketing across acquisition, targeting, personalization, and retention using data, advanced analytics, and emerging AI/GenAI capabilities.
</p><p><b>How will you make an impact in this role?
</b></p><p>As a Manager, you will support the development of data-driven strategies and analytical solutions that enhance customer targeting, personalization, and retention across channels. You will work closely with cross-functional partners to deliver insights, improve decisioning, and drive measurable business outcomes.
</p><p>This role is ideal for someone with a strong foundation in analytics and a growing interest in applying AI/GenAI to marketing and customer engagement.</p></div><p></p>
<br><div><p><b>Minimum Qualifications
</b></p><ul><li>MBA or Master&rsquo;s degree in a quantitative field (e.g., Engineering, Mathematics, Statistics, Computer Science, Economics).
</li><li>Strong analytical and problem-solving skills with experience working through complex, ambiguous business problems.
</li><li>Experience with machine learning models (e.g., regression, kNN, clustering, tree-based models) and proficiency in analytical tools such as SQL, Python, or PySpark.
</li><li>Experience with GenAI and LLM-based applications, including prompt engineering, RAG frameworks, vector databases, or similar technologies.
</li><li>Ability to translate data into insights and clearly communicate recommendations to business partners.
</li><li>Experience collaborating within cross-functional teams and contributing to data-driven decision making.
</li><li>Demonstrated ability to manage multiple priorities in a fast-paced, dynamic environment.
</li></ul><p><b>Preferred Qualifications
</b></p><ul><li>Experience in marketing analytics, customer lifecycle management, or personalization.
</li><li>Familiarity with experimentation frameworks or digital analytics tools.
</li><li>Interest in applying AI/GenAI to improve marketing effectiveness and customer engagement.
</li><li><p>Strong communication and stakeholder management skills.<br>
</p></li></ul><p></p><p>Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.</p></div>
<br><div><p>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
</p><p>As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</p></div>
<br><div><p>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
</p><p></p><ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul><p>For a full list of Team Amex benefits, visit out Colleague Benefits Site .
</p><div>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.<br>
</div><div></div><br>
<div>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.<br>
</div><div></div><br>
<div>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.</div></div><div></div>

Manager-Data Science

Whatnot

<div><h2 class="jobSectionHeader"><b>Join the Future of Commerce with Whatnot!</b></h2><p>
Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.</p><p>
As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.</p><p>
We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.</p><h2 class="jobSectionHeader"><b>
 Join the Future of Commerce with Whatnot!</b></h2><p>
Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We&rsquo;re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we&rsquo;re inspired by innovation and anchored in our values. With hubs in the US, UK, Ireland, Poland, and Germany, we&rsquo;re building the future of online marketplaces&mdash;together.</p><p>
From fashion, beauty, and electronics to rare collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.</p><p>
And we&rsquo;re just getting started! As one of the fastest growing marketplaces, we&rsquo;re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.</p><p></p><h2 class="jobSectionHeader"><b>
 Role</b></h2><p>
We&rsquo;re looking for a Manager, Data Science to lead a high-impact team working on core marketplace problems. In this role, you&rsquo;ll own measurement, experimentation, and analytical strategy across some of our most important growth, discovery, and ecosystem questions, helping drive durable, profitable GMV across the marketplace.</p><p>
This is a hands-on leadership role. You&rsquo;ll manage and develop a strong team of data scientists while also staying close to the work yourself&mdash;shaping methodology, raising the quality bar, and helping the company make better product and investment decisions. Depending on business needs and candidate fit, this role may support buyer or seller domains.</p><ul><li><p>
Lead a team of data scientists working on high-impact marketplace problems across areas such as growth, discovery, incentives, ads, ranking, and ecosystem health</p></li><li><p>
Build and operationalize strong measurement foundations, including KPI frameworks, dashboards, diagnostics, and recurring business review rhythms</p></li><li><p>
Raise the bar for experimentation quality through better test design, guardrails, observability, and interpretation</p></li><li><p>
Partner closely with Product, Engineering, Marketing, Finance, Trust &amp; Safety, and other cross-functional teams on complex marketplace and growth problems</p></li><li><p>
Drive analytical strategy for major product and business investments, helping teams understand performance, profitability, and tradeoffs</p></li><li><p>
Support work on discovery, personalization, matching, and monetization across evolving parts of the marketplace</p></li><li><p>
Improve how teams use data by building scalable frameworks, self-serve analytics, and high-quality analytical assets</p></li><li><p>
Help your team adopt modern tooling, including AI-enabled workflows, to improve speed, leverage, and decision-making</p></li><li><p>
Manage, coach, and develop high-performing data scientists while hiring thoughtfully as the business grows</p></li><li><p>
Nice to have:</p><ul><li><p>
Experience in marketplaces, two-sided platforms, or live/social consumer products</p></li><li><p>
Experience with incentives, pricing, LTV, ads, marketplace health, or ecosystem economics</p></li><li><p>
Background in ranking, recommendations, personalization, or growth experimentation</p></li><li><p>
Experience building approaches, tools, or methodologies that scaled beyond your immediate team</p></li></ul></li></ul><p><b>
We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, San Francisco or Los Angeles hub.</b></p><p></p><h2 class="jobSectionHeader"><b>
 You</b></h2><p>
People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.</p><ul><li><p>
7+ years of experience in data science, product analytics, experimentation, economics, or a related quantitative field</p></li><li><p>
2+ years of experience managing or tech-leading high-performing data scientists or quantitative teams</p></li><li><p>
Strong hands-on foundation in analytics, experimentation, causal reasoning, and statistical methodology</p></li><li><p>
Experience supporting consumer product, growth, marketplace, monetization, or ecosystem-focused teams</p></li><li><p>
Track record of building measurement systems and analytical frameworks that improve decision quality</p></li><li><p>
Strong product and business judgment, with the ability to connect detailed analysis to broader company outcomes</p></li><li><p>
Ability to operate effectively in ambiguity and adapt quickly as priorities evolve</p></li><li><p>
Strong communication and stakeholder management skills, including experience working cross-functionally with senior partners</p></li><li><p>
Track record of coaching and developing strong individual contributors</p></li><li><p>
Enthusiasm for modern data tooling and AI-enabled workflows that improve team productivity</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
 Benefits</b></h2><ul><li><p>
Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)</p></li><li><p>
Health Insurance options including Medical, Dental, Vision</p></li><li><p>
Work From Home Support</p><ul><li><p>
Home office setup allowance</p></li><li><p>
Monthly allowance for cell phone and internet</p></li></ul></li><li><p>
Care benefits</p><ul><li><p>
Monthly allowance for wellness</p></li><li><p>
Annual allowance towards Childcare</p></li><li><p>
Lifetime benefit for family planning, such as adoption or fertility expenses</p></li></ul></li><li><p>
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally</p></li><li><p>
Monthly allowance to dogfood the app</p><ul><li><p>
All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).</p></li></ul></li><li><p>
Parental Leave</p><ul><li><p>
16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.</p></li></ul></li></ul><h2 class="jobSectionHeader"><b>
 EOE</b></h2><p>
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.</p><h2 class="jobSectionHeader"><b>
EOE</b></h2><p>
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.</p><p>
Compensation Range: $221K - $320K</p></div>

Manager, Data Science

<div><ul><li>Job Type: Officer of Administration</li>
<li>Regular/Temporary: Regular</li>
<li>Hours Per Week: 35</li>
<li>Salary Range: $66,300.00 to $68,300 Annual</li>
</ul><div><i>The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.</i></div>
<p></p>
<p>Position Summary</p>
<p>
The Clinical Research Coordinator (CRC) will support investigator‑initiated trials (IITs) focused on improving outcomes for patients with heart failure. Studies may be single‑site or multicenter across inpatient and outpatient settings. The CRC will collaborate closely with faculty investigators, research fellows, a regulatory manager, a biostatistician, and a data manager to execute high‑quality academic clinical research and contribute to scholarly dissemination.
</p><p></p><p>Responsibilities</p>
<ul>
<li>Screen participants for eligibility and coordinate informed consent per IRB‑approved protocols.</li>
<li>Schedule and conduct study visits in inpatient/outpatient settings; perform protocol‑specific procedures.</li>
<li>Monitor study calendars to ensure adherence to visit windows and protocol timelines.</li>
<li>Collect and document study data accurately and contemporaneously.</li>
<li>Enter data into REDCap or other approved systems in collaboration with the data manager.</li>
<li>Verify documentation accuracy, respond to data queries, and assist with medical record abstraction and source documentation.</li>
<li>Maintain essential documents and regulatory binders with the regulatory manager.</li>
<li>Ensure adherence to ICH‑GCP and institutional policies; support adverse event documentation and reporting.</li>
<li>Assist with site communications and track documentation requirements.</li>
<li>Support coordination of investigator meetings and study materials; maintain organized site documentation.</li>
<li>Participate in data cleaning and study closeout; contribute to abstracts and posters for regional/national conferences.</li>
<li>Assist with manuscript development; present research findings internally/externally</li>
<li>Perform other responsibilities as needed.</li>
</ul>
<p></p><p>Minimum Qualifications</p>
<ul>
<li>Bachelor&rsquo;s degree in public health, health sciences, biology, nursing, or a related field or equivalent in education and experience.</li>
<li>Strong organizational skills and attention to detail.</li>
<li>Clear and professional written and verbal communication.</li>
<li>Ability to manage multiple priorities in a hospital‑based environment.</li>
<li>Strong communication, accountability, and the ability to manage assigned studies.</li>
</ul>
<p></p><p>Preferred Qualifications</p>
<ul>
<li>Prior research experience in a clinical, academic, or laboratory setting.
</li><li>Familiarity with REDCap, EPIC, or electronic data systems.
</li><li>Demonstrated interest in cardiology, heart failure, or academic medicine; familiarity with medical terminology.</li>
</ul>
<p></p><p>Other Requirements</p>
<ul>
<li>Participation in the medical surveillance program
<ul><li>Contact with patients and/or human research subjects.</li>
<li>Potential bloodborne pathogen exposure</li>
</ul></li><li>Successful completion of applicable compliance and systems training requirements.</li>
</ul>
<p></p><p>Equal Opportunity Employer / Disability / Veteran</p>
<p>
Columbia University is committed to the hiring of qualified local residents.</p></div>

Clinical Research Coordinator - Cardiology (CICC)

NATIONMIND LLC

<div><div><div>About NationMind LLC:<br>
<br>
NationMind LLC is a technology consulting firm focused on Technical Engineering, software development, technicians, QA testing and services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for <b>Project/Program Manager</b> to join our growing team.<br>
<br>
<b>Project/Program Manager</b>
</div><div><b>Location:</b> New York City (onsite)</div>
<div><b>Duration:</b> 6 Months<br>
<br>
<b>Required All 4 Certifications(Active)</b>
</div><ul><li>PMP</li></ul>
<ul><li>Agile</li></ul>
<ul><li>CSM</li></ul>
<ul><li>ITIL Foundation</li></ul>
<div></div>
<div><b>Description</b></div>
<ul><li>The Technology Program Manager Consultant position will be instrumental in leading in the execution and delivery of large-scale complex, cross-domain technology initiatives within the Enterprise Strategy &amp; Architecture (ESA) division.</li></ul>
<ul><li>The ideal candidate brings a combination of strong technical understanding, disciplined program governance, and the ability to operate effectively within a complex, public sector environment.</li></ul>
<ul><li>This role blends strategic oversight and program management expertise that will work closely with architecture teams across Enterprise Architecture, Cloud, Platform, Data &amp; AI, Application, and Network domains, as well as key IT functions including Capital Projects, Operational Technology, Infrastructure &amp; Operations, Product, and Cybersecurity.</li></ul>
<ul><li>A major focus of the role is developing, expanding, and maintaining an executive dashboards and performance metrics profile that provide visibility into employee bandwidth, resource allocation, and project health.</li></ul>
<ul><li>The Manager synthesizes complex data into actionable insights and executive summaries that inform leadership decisions, drive operational efficiency, and support long-term strategic planning.</li></ul>
<ul><li>The position ensures cohesive delivery across interconnected technology domains and alignment between technology solutions and business objectives.</li></ul>
<div><b>Key Responsibilities</b></div>
<ul><li>Collaborate with senior leadership including CTO, DCTO&rsquo;s offices, Directors, and program stakeholders across a highly matrixed organizational structure.</li></ul>
<ul><li>Develop high-quality executive Power BI dashboards scorecards, and performance metrics to support leadership oversight, resource planning, and operational decision making.</li></ul>
<ul><li>Build, refine, and present executive level presentations summarizing program status, risks, financials, and strategic impacts.</li></ul>
<ul><li>Prepare detailed metrics and analysis of dashboard and formulate into executive summary and concise detail.</li></ul>
<ul><li>Track KPIs and present progress to executive leadership.</li></ul>
<ul><li>Ensure solutions align with architecture standards.</li></ul>
<ul><li>Conduct capacity planning and resource forecasting analysis.</li></ul>
<ul><li>Identify system inefficiencies and outline reengineering efforts.</li></ul>
<ul><li>Communicate effectively with all stakeholders.</li></ul>
<ul><li>Coordinate with enterprise architecture, product divisions, infrastructure teams, cybersecurity, and operational departments to ensure program alignment with IT standards.</li></ul>
<ul><li>Assist in the development of the ESA&rsquo;s strategic technology roadmap.</li></ul>
<ul><li>Identify and assist to mitigate risks.</li></ul>
<ul><li>Drive continuous improvement and innovation across systems.</li></ul>
<ul><li>Assist to highlight team priorities and resource supply/demand.</li></ul>
<ul><li>Address workload and performance issues.</li></ul>
<ul><li>Escalate unresolved issues appropriately.</li></ul>
<ul><li>Perform other duties as assigned.</li></ul>
<ul><li>Proven expertise across Cloud, Data &amp; AI, Network, Applications, and Enterprise Architecture.</li></ul>
<ul><li>Advanced proficiency in Microsoft Office Suite (Teams, Planner, Visio, Word, Excel, Access, PowerPoint, SharePoint).</li></ul>
<ul><li>Power BI experience includes dashboard creation, KPI design, and data analysis.</li></ul>
<ul><li>Hands on experience with Jira and ServiceNow for project tracking and portfolio reporting.</li></ul>
<ul><li>Exceptional communication skills with ability to deliver executive-level insights.</li></ul></div></div>

Project/Program Manager

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>8 years of experience with Generative AI (Large Language Models, Multi-Modal Models) and Agentic Technologies (e.g., MCP, ADK, A2A, etc.).</li>
<li>2 years of experience in a people management or team leadership role.</li>
<li>1 year of experience building developer tools that improve developer velocity, code quality and code health (e.g., compilers, automated releases, code design and testing, test automation frameworks).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience in building developer-facing products for integrated development environments (IDEs like VSCode) or Command Line.</li>
<li>Experience with Large Language Models for code (e.g., Gemini, GPT-4, Claude), modern cloud infrastructure, and industry-standard developer tool frameworks.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.<br>
<br>
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.</p>
<p>
As a Software Engineering Manager in BigQuery&rsquo;s Analytics AI organization, you will build the intelligent backbone and experiences for the next generation of data processing. You will build agents, skills, and tools that assist the entire data lifecycle; furthermore, you will be a key driver in building the surfaces and tools that make data development intuitive, fast, and seamless. You will collaborate with product managers, engineers, scientists, and designers to create unified, AI-accelerated agents and developer experiences that push the boundaries of how humans and AI collaborate on code and data.</p>
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud&rsquo;s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
<br>
<br>
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<br>
<br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design and develop next-generation agentic solutions and data developer experiences such as data ingestion, data pipelines, data science, feature extraction, model training, and more.</li>
<li>Develop and maintain the technical roadmap of the team&rsquo;s charter.</li>
<li>Collaborate cross-functionally with Product, Data Scientists, Applied Scientists, and UX Designers and cross-teams to define the roadmap for AI-native data journeys.</li>
<li>Iterate and enhance agentic frameworks by contributing to sophisticated tool-use, memory, context retrieval, multi-step orchestration, and evaluation (evals) to ensure accuracy and reliability of orchestration at petabyte scale.</li>
<li>Lead the team on defining and executing on goal and long-term strategy.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineering Manager, BigQuery, Agentic AI

Explore 1264+ Data manager in New York this May. Find roles across top companies and apply now to boost your career.