manager of data

Children's Hospital of the King's Daughters

<div><div><div><div><div><ul><li><div><div><b>GENERAL SUMMARY</b></div>
<ul><li><div><div><div><p>The Manager, IS Data Analytics is responsible for data reporting and business intelligence projects and staff management within the Data Analytics department. The manager directs data analytics team members in the areas of prioritization, scheduling, technical direction and development practices, and coordinates with internal partners and end-users to determine requirements design and delivery of Business Intelligence (BI) solutions, dashboards and operational reporting. Reports to department leadership.</p>
</div></div></div></li></ul></div></li><li><div><div><b>ESSENTIAL DUTIES AND RESPONSIBILITIES</b></div>
<ul><li><div>Collaborates with people across the organization to deliver data products that support decision making and fosters a data-driven culture.</div>
</li><li><div>Facilitates discovery, design, project management and deployment of BI projects.</div>
</li><li><div>Manages daily workload within the Data Analytics team and provides Data Governance oversight, prioritized stakeholder requests and manages on-going maintenance and support of reports and dashboards.</div>
</li><li><div>Analyzes complex data sets and works closely with Database Administrators and technical staff to design, build and maintain SQL and columnar databases, and provides metrics and visualizations to support enterprise data needs.</div>
</li><li><div>Explores new trends, tools and best practices including, but not limited to, predictive modeling, large language models and AI.</div>
</li><li><div>Leads, manages, coaches, and trains a team or department, provides guidance, support, and mentors to ensure optimal performance and productivity.</div>
</li><li><div>Oversees the recruitment, hiring, team/department orientation, performance appraisals and disciplinary actions including up to termination processes for a team or department.</div>
</li></ul></div></li><li><div><div><b>LICENSES AND/OR CERTIFICATIONS</b></div>
<ul><li><div><b>Required Licenses and/or Certifications</b></div>
<ul><li><div><div>None</div>
</div></li></ul></li><li><div><b>Preferred Licenses and/or Certifications</b></div>
<ul><li><div>None</div>
</li></ul></li></ul></div></li><li><div><div><b>MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS</b></div>
<ul><li><div><b>Required Education and Experience</b></div>
<ul><li><div>Bachelor of Science Degree in Mathematics, Computer Science, Computer Engineering or related field required. Equivalent combination of education and experience may be considered with 2 years of experience generally equivalent to 1 year of college education.</div>
</li><li><div>5 or more years of data analytics experience including design, generation and support of reports and dashboards.</div>
</li><li><div>5 or more years of experience working with relational, columnar and/or flat databases and data modeling.</div>
</li><li><div>3-5 years of experience as a business analyst, systems analyst or report analyst/developer.</div>
</li></ul></li><li><div><b>Required Knowledge, Skills and Abilities</b></div>
<ul><li><div>Advanced understanding of healthcare data with knowledge of Epic and/or Oracle a plus.</div>
</li><li><div>Strong coding skills in at least one language (SQL, SAS, R, Python).</div>
</li><li><div>Proficiency in data cleansing and extract, transform and load tasks.</div>
</li><li><div>Highly self-motivated and demonstrated ability to lead projects to completion.</div>
</li><li><div>Excellent organization, communication and written skills required.</div>
</li><li><div>Interpersonal skills necessary to direct and assign work to subordinates, explain department policies and procedures and communicate effectively with other professionals.</div>
</li><li><div>Advanced skills in Microsoft tools including Excel and PowerBI.</div>
</li></ul></li></ul></div></li><li><div><div><b>WORKING CONDITIONS</b></div>
<ul><li><div><div><div><p>Normal office environment with little exposure to excessive noise, dust, temperature and the like.</p>
</div></div></div></li></ul></div></li><li><div><div><b>PHYSICAL REQUIREMENTS</b></div>
<ul><li><div><div><div><p>Click here to view physical requirements.</p><br>
</div></div></div></li></ul></div></li></ul></div></div></div></div><br>
Location: Childrens Hospital of The Kings Daughters &middot; I.S. Data Analytics<br>
Schedule: Full-Time, Days</div>

Manager, IS Data Analytics

Murmuration

<div><p><b>Who We Are</b></p><p>
Murmuration is a nonprofit organization that amplifies the power of civic engagement by providing data, digital tools, and research-driven insights to community-focused organizations so that together we can create an America where everyone can lead healthy, free, and dignified lives.</p><p>
Every day, people are trying to shape our future for the better. Fighting for water that&rsquo;s safe to drink. Schools that serve students equitably. Gun laws that make sense. And rallying people who care like we do. And yet too often the skillful organizers working to mobilize communities lack access to technology that could supercharge their efforts. Knocking on every door instead of knowing which will open most easily. And going up against outside interests that have half the heart, but twice the tools.</p><p>
In communities across America, Murmuration&rsquo;s partners are leveraging our data, tools, and insights to help thousands of organizers orchestrate millions of individual people to do big things together. Demand big things together. To create the world they want. Together.</p><p></p><p><b>
About the Position</b></p><p>
The Data Manager is one of the primary people responsible for meeting the data needs of our partners and their respective campaigns for the effective use of our products and services. The members of the Data Team are expert problem solvers, familiar with modern databases, SQL, Python, and who can deal with escalated issues involving data discrepancies and other data mysteries. Working with Partnership Success Managers, you will serve as a key resource for our growing set of partners who are looking to utilize our data-driven capabilities to support their electoral and organizing &amp; advocacy efforts. You will become familiar with how individual partners are utilizing data to enable their mission and provide input and thought leadership in how Murmuration&rsquo;s capabilities can further drive their activity. The day-to-day work will be supporting the range of data needs our partners have, including helping to clean and load data, understand complex data sets and implement data management best practices. You will also work with other members of the Data Team to help determine the prioritization of enhancements and improvements in the tools and methodologies we use to support our partners and their data.</p><p></p><p>
Job Level: IC3</p><p></p><p><b>
What You&rsquo;ll Do:</b></p><ul>
<li>
Understand the data requirements of a set of partners for their respective civic engagement campaigns and ensure the data-related products and services are being set up to meet those expectations;</li>
<li>In collaboration with Partnership Success Managers, establish strong relationships with partners to ensure the best possible support of their data work through regular communication and meetings;</li>
<li>Provide support to colleagues within the Partnerships Team, and partners directly, around the rules and processes around how data is managed by Murmuration;</li>
<li>Gather a proactive understanding of assigned partner long-term data requirements and provide recommendations and requirements for enhancements or new data solutions;</li>
<li>Provide support to partners when they raise data issues that require resolution, including the coordination of internal and external parties (such as Data Vendors, Technology Partners); and</li>
<li>Make recommendations and provide strategic support regarding ways to make data and database operations more efficient and effective to support partner needs.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
Strong problem solving skills, as well as the ability to manage several tasks/projects concurrently and prioritize work effectively;</li>
<li>Strong communication skills to interact effectively with various internal and external stakeholders to develop data strategy and collaborative partnerships;</li>
<li>An unquenchable desire to identify and fix data issues in a large, complex data environment (we&rsquo;ll rely on you to constantly be hunting for issues and not waiting to be reactive);</li>
<li>Moderate knowledge of SQL, including creating complex queries and manipulating large data sets; and</li>
<li>Moderate experience in scripting languages (Python, etc.)</li>
</ul><p></p><p><b>
Nice to Haves</b></p><ul>
<li>
Experience with voter file or election data or other datasets containing personally identifiable information (PII) is a large plus;</li>
<li>Experience executing community or political outreach efforts on a significant scale;</li>
<li>Experience implementing data quality control best practices with both internal and external stakeholders;</li>
<li>Experience training stakeholders with varying levels of data literacy on how to understand and utilize different types of data; and/or</li>
<li>Experience with business intelligence tools such as Sigma or Tableau.</li>
</ul><p></p><p>
Talented Data Managers come from all walks of life and career. If you are passionate about civic engagement and technology, please apply, even if you do not check every box!</p><p></p><p><b>
Benefits</b></p><p><b>
Location and Compensation</b></p><p>
The Data manager is a full-time, salaried position with a comprehensive benefits package (more detail below). It is based anywhere in the U.S. The starting salary range for this position is $85,000 - $100,000 and is commensurate with experience. This pay range reflects what the organization expects to offer for this position at the time of posting. In alignment with applicable laws, compensation will be determined based on the applicant's skills, qualifications, experience, and the specific requirements of the role. Please note that the organization may adjust this pay range as needed.</p><p></p><p><b>
Our Culture of Care</b></p><p>
We work hard to create a culture of care to ensure that our staff are best equipped to lead happy, healthy, and balanced lives. To that end, we offer a comprehensive benefits package which includes:</p><p></p><ul>
<li>
Health, vision, and dental insurance with 100% of premiums covered for you and qualifying family members;</li>
<li>Retirement benefits with a 5% employer match;</li>
<li>A flexible unlimited PTO plan;</li>
<li>Generous paid parental leave;</li>
<li>Pre-tax commuter benefits;</li>
<li>A company laptop;</li>
<li>A flexible remote work environment;</li>
<li>A home office setup stipend for all new employees;</li>
<li>Monthly reimbursement for remote work expenses;</li>
<li>A yearly professional development fund;</li>
<li>Mental health and wellness benefits through Calm and Better Help;</li>
<li>Yearly in-person staff retreats; and</li>
<li>A welcoming culture that celebrates diversity, equity, and inclusion.</li>
</ul><p></p><p>
At Murmuration, we believe a vibrant, representative democracy depends on the inclusion of diverse voices, lived experiences, and perspectives. The best ideas don&rsquo;t come from a single person or ideology &mdash; they emerge at the intersection of different backgrounds, identities, and viewpoints. We are proud of our commitment to building an organization and culture shaped by respect, empathy, and collaboration, where our team&rsquo;s diversity fuels innovation, civic engagement, and meaningful change. We welcome new colleagues who will help us nurture this collective effort. Join us.</p><p></p><p><b>
An Equal-Opportunity Employer with a Commitment to Diversity</b></p><p>
Murmuration is proud to be an equal opportunity employer, and as an organization committed to diversity and the perspective of all voices, we consider applicants equally of race, gender, color, sexual orientation, religion, marital status, disability, political affiliation and national origin. We reasonably accommodate staff members and/or applicants with disabilities, provided they are otherwise able to perform the essential functions of the job.</p><p></p><p>
Note: Murmuration is two organizations working together to pursue our mission of amplifying the power of civic engagement: Murmuration Research Institute, a 501(c)(3) that conducts research to identify, design, and create the data, tools, and insights that build healthier and more equitable communities; and Murmuration, Inc., a 501(c)(4) that supports organizations working across the country on the nation&rsquo;s most challenging issues with access to data, tools, and research that build healthier and more equitable communities.</p></div><p></p>

Data Manager

Visa

<div><b>Company Description</b><p><br>
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.</p><p>
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.</p><b><br>
Job Description</b><p><br>
The Manager of Data Science is one of the risk roles in the Central Europe, Middle East and Africa (CEMEA) Data Science risk team. We are seeking an innovative and analytical thinker to champion our data-driven strategies within the region. As a Data Science Risk Manager, you will participate in building predictive and prescriptive models, and develop context-based prototypes and high-impact storyboards that promote data-driven strategies and solutions for Visa clients. The position will primarily focus on engagements in the area of credit, fraud and operational risks, deep risk analytics, risk scoring as well as forecasting solutions.</p><p><b>
Principal Responsibilities</b></p><ul><li><p>
Work entails heavy focus on developing and implementing best-in-class risk analytic solutions, inclusive of scoring and non-scoring models. Create and deliver powerful insights from data through better visualization and storyboarding</p></li><li><p>
Work with a broader team that consists of Business Managers, Consultants and Data Scientists from both Visa and client organizations to strategize, co-create, deploy and reap the benefits of data-driven solutions</p></li><li><p>
Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa&rsquo;s growth in the region</p></li><li><p>
Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights</p></li><li><p>
Ability to quickly understand and process alternate/non-conventional data sources/platforms and develop AI based advanced prediction algorithms</p></li><li><p>
Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges</p></li><li><p>
Collaborate with internal Technology partners and Data Engineering function to best leverage Visa&rsquo;s internal technology platforms, data, and the broader Visa ecosystem to support our clients&rsquo; technical data needs</p></li><li><p>
Manage workload for self and any direct reports, providing prioritization guidance for project flow to improve process efficiency</p></li><li><p>
Develop, share, and build global best practices and knowledge management within the team</p></li><li><p>
Socialize innovative ideas and approaches that are scalable and have market demand</p></li><li><p>
Champion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visa&rsquo;s highly regarded market standing is maintained</p></li></ul><p>
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.</p><b><br>
Qualifications</b><div><br>
Professional Experience<br>
<ul><li>Minimum of 6+ years of expertise in applying Machine Learning solutions to business problems &ndash; model development and production experience required</li><li>Post-graduate degree (Masters or PhD) in quantitative fields such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering</li><li>Excellent knowledge, experience and understanding of quantitative techniques (modelling, statistics, root-cause, etc.) applied to Risk Management with a focus on Card and Payments. Familiarity with key Risk and Performance Indicators. Experience working in one or more of the Card &amp; Payments markets around the globe, with specific responsibilities in payments, retail banking, or retail merchant industries</li><li>Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product</li><li>Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems</li><li>Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation</li><li>Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels</li><li>Develop Risk advisory related knowledge and capabilities creating next generation risk engagement with Visa clients</li><li>Partner with in-market VCA consultants and data scientists to deliver risk-related advisory engagements</li><li>Establish Intellectual Property (IP) risk repository for VCA by capitalizing on learnings from consulting engagements (e.g., build standard methods, create library of case studies, templatize modeling codes)</li><li>Reengineer and/or package risk consulting methodologies and data driven solutions as appropriate, ensuring world-class best practices and efficiency through economies of scale</li><li>Partner with other Visa functions (e.g., Risk, Products) to capitalize on existing risk products/solutions and co-design new ones leveraging Visa&rsquo;s assets (expertise, data, capabilities)</li><li>Proven ability to deliver results within committed scope, timeline and budget</li><li>Very strong project management skills and experience</li><li>Ability to travel within CEMEA on short notice</li></ul>
Technical Expertise<br>
<ul><li>Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)</li><li>Strong understanding and experience of modern technology stack and microservice architecture including Kotlin, Spring boot, PostgreSQL, Kafka, AWS</li><li>Relevant experience of engineering unstructured/structured data from Telco, Supermarket, Social Media, Online logs, E-commerce, etc is preferrable</li><li>Ability to write scratch MapReduce jobs and fluency with Spark frameworks</li><li>Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE&rsquo;s (Jupyter Notebooks), proficiency in SAS technologies and techniques is preferred</li><li>Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL</li><li>Experience in drafting solution architecture frameworks that rely on API&rsquo;s and micro-services</li><li>Familiarity with common data modeling approaches and ability to work with various datatypes including JSON, XML, etc.</li><li>Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro</li><li>Proficient in some or all the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, Bagging and Boosting algorithms, etc.</li><li>Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID)</li></ul></div><b><br>
Additional Information</b><p><br>
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</p></div>

Risk DS

Infoblox

<div><p>At Infoblox, every breakthrough begins with a bold <b>&ldquo;what if.&rdquo;
</b><br>
<b>What if </b>your ideas could ignite global innovation?
<br>
<b>What if </b>your curiosity could redefine the future?
</p><p>We invite you to step into the next exciting chapter of <b>your </b>career journey. Bring your creativity, drive, your daring spirit, and feel what it&rsquo;s like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect <b>70% of the Fortune 500 </b>, and we&rsquo;re looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold &ldquo;what if&rdquo; can take the world, your community, and your career.
</p><p>Here, how we empower our people is extraordinary: <b>Glassdoor Best Places to Work 2025, Great Place to Work-Certified in five countries, and Cigna Healthy Workforce honors three years running </b>&mdash; and what we build is world-class: recognized as <b>CybersecAsia&rsquo;s Best in Critical Infrastructure 2024 </b>&mdash; evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, <b>what if </b>the next big idea, and the next great career story, comes from you? Become the force that turns every &ldquo;what if&rdquo; into &ldquo;what&rsquo;s next&rdquo;.
</p><p>In a world where you can be anything, <b>Be Infoblox </b>.
</p><p><b>Manager, Data Steward
</b></p><p>We have an opportunity for a Manager, Data Steward in Bangalore, reporting to the Senior Director, Operations. In this role, you will champion data integrity and empower your team to deliver reliable, actionable insights that drive business growth and supports strategic decisions. You will drive initiatives that ensure the integrity, consistency, and governance of account data in Salesforce.com, while mentoring your team to follow best practices and compliance standards. You will also collaborate with cross-functional teams to deliver high-quality data solutions that support business objectives.
</p><p><b>Be a Contributor &mdash; What You&rsquo;ll Do
</b></p><ul><li>Oversee the maintenance of the Account Master in Salesforce.com, ensuring data accuracy and completeness
</li><li>Manage validation and updates of account names and addresses
</li><li>Establish and maintain account hierarchy, including parent/child relationships and coordination of account merge request with key stakeholders
</li><li>Supervise the assignment of sales designations and account segments
</li><li>Ensure accurate account ownership records and governance
</li><li>Manage Dun &amp; Bradstreet identification for all accounts
</li><li>Establish and execute SLAs for reviewing escalations, auditing data quality, and resolving exceptions
</li><li>Oversee the process for new account requests, including approvals and rejections in alignment with business rules
</li><li>Maintain and refine standard operating procedures, including business rules, data models, definitions, and policies to support clean, repeatable, and reportable data
</li><li>Develop and uphold reporting frameworks for sales leadership and field teams
</li><li>Ensure enterprise data is accurate, trusted, and governed through agentic AI systems, while bringing expertise in stewardship that balances innovation with compliance
</li></ul><p><b>Be Prepared &mdash; What You Bring
</b></p><ul><li>10+ years management experience in high tech industry/SaaS company, Sales Operations ,or similar role preferred
</li><li>Highly organized, detail-oriented, and efficient, with a proven ability to manage multiple responsibilities effectively
</li><li>Proven passion for data stewardship with experience governing large-scale datasets
</li><li>Stewardship expertise and foresight to unlock AI value while safeguarding integrity and compliance
</li><li>Deep understanding of data management principles, business rules, and data modeling
</li><li>Strong communication and leadership skills, with the ability to mentor and develop a team
</li><li>Experience working with Salesforce.com and familiarity with account management processes
</li><li>Ability to collaborate with sales leadership, field teams, and cross-functional partners
</li></ul><p><b>Be Successful &mdash; Your Path
</b></p><p><b>First 90 Days:
</b></p><ul><li>Immerse in our culture, connect with mentors, and map the systems and stakeholders that rely on your work
</li></ul><p><b>Six Months:
</b></p><ul><li>Build strong relationships with key stakeholders across cross-functional teams, gaining a clear understanding of their roles and impact within the company
</li><li>Stabilize and standardize Data Steward Operations by assigning clear responsibility, documenting SOPs for account validation, hierarchy management, and new account requests
</li><li>Establish baseline data quality metrics and define KPIs to support the first data quality dashboard//report
</li><li>Roll out at least one process improvement or automation to reduce manual work or improve turnaround time
</li></ul><p><b>One Year:
</b></p><ul><li>Deliver measurable data quality improvements against KPIs, with quarterly scorecards
</li><li>Build and mentor a high-performing data steward team, implementing succession plans and cross training to mitigate any single points of failure
</li><li>Become the recognized global point of contact for account master governance, leading at least one global initiative (ie: hierarchy redesign, D&amp;B integration optimization, data governance council participation) that improves the enterprise-wide account data foundation
</li></ul><p><b>Belong&mdash; </b><b>Your Community
</b></p><p>Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you&rsquo;ll grow and belong here.
</p><p><b>Be Rewarded &mdash; </b><b>Benefits That Help You Grow, Thrive, Belong
</b></p><ul><li>Comprehensive health coverage, generous PTO, and flexible work options
</li><li>Learning opportunities, career-mobility programs, and leadership workshops
</li><li>Sixteen paid volunteer hours each year, global employee resource groups, and a &ldquo;No Jerks&rdquo; policy that keeps collaboration healthy
</li><li>Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations
</li><li>Charitable Giving Program supported by Company Match
</li><li>We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications
</li></ul><p>Ready to <b>Be the Difference?
</b></p><p><i>Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis
</i></p><p>#LI-RH1
</p><p>#LI-Hybrid</p></div>

Manager, Data Steward

<div><b>Company Description</b><p><br>
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.</p><p>
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.</p><b><br>
Job Description</b><p><br>
The Manager of Data Science is one of the risk roles in the Central Europe, Middle East and Africa (CEMEA) Data Science risk team. We are seeking an innovative and analytical thinker to champion our data-driven strategies within the region. As a Data Science Risk Manager, you will participate in building predictive and prescriptive models, and develop context-based prototypes and high-impact storyboards that promote data-driven strategies and solutions for Visa clients. The position will primarily focus on engagements in the area of fraud and operational risks, deep risk analytics, risk scoring as well as marketing solutions from Merchant/Acquiring.</p><p><b>
Principal Responsibilities</b></p><ul><li>
Work entails heavy focus on developing and implementing best-in-class risk analytic solutions, inclusive of scoring and non-scoring models. Create and deliver powerful insights from data through better visualization and storyboarding</li><li>
Work with a broader team that consists of Business Managers, Consultants and Data Scientists from both Visa and client organizations to strategize, co-create, deploy and reap the benefits of data-driven solutions</li><li>
Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa&rsquo;s growth in the region</li><li>
Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights</li><li>
Ability to quickly understand and process alternate/non-conventional data sources/platforms and develop AI based advanced prediction algorithms</li><li>
Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges</li><li>
Collaborate with internal Technology partners and Data Engineering function to best leverage Visa&rsquo;s internal technology platforms, data, and the broader Visa ecosystem to support our clients&rsquo; technical data needs</li><li>
Manage workload for self and any direct reports, providing prioritization guidance for project flow to improve process efficiency</li><li>
Develop, share, and build global best practices and knowledge management within the team</li><li>
Socialize innovative ideas and approaches that are scalable and have market demand</li><li>
Champion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visa&rsquo;s highly regarded market standing is maintained</li></ul><p>
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.</p><b><br>
Qualifications</b><div><br>
Professional Experience<br>
<ul><li>Minimum of 6+ years of expertise in applying Machine Learning solutions to business problems &ndash; model development and production experience required</li><li>Post-graduate degree (Masters or PhD) in quantitative fields such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering</li><li>Excellent knowledge, experience and understanding of quantitative techniques (modelling, statistics, root-cause, etc.) applied to Risk Management with a focus on Card and Payments. Familiarity with key Risk and Performance Indicators. Experience working in one or more of the Card &amp; Payments markets around the globe, with specific responsibilities in payments, retail banking, or retail merchant industries</li><li>Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product</li><li>Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems</li><li>Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation</li><li>Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels</li><li>Develop Risk advisory related knowledge and capabilities creating next generation risk engagement with Visa clients specializing in Merchant/Acquiring side of payment processing</li><li>Knowledge of Merchant fraud engines/solutions like CYBS/MPGS is preferred</li><li>Partner with in-market VCA consultants and data scientists to deliver risk-related advisory engagements</li><li>Establish Intellectual Property (IP) risk repository for VCA by capitalizing on learnings from consulting engagements (e.g., build standard methods, create library of case studies, templatize modeling codes)</li><li>Reengineer and/or package risk consulting methodologies and data driven solutions as appropriate, ensuring world-class best practices and efficiency through economies of scale</li><li>Partner with other Visa functions (e.g., Risk, Products) to capitalize on existing risk products/solutions and co-design new ones leveraging Visa&rsquo;s assets (expertise, data, capabilities)</li><li>Proven ability to deliver results within committed scope, timeline and budget</li><li>Very strong project management skills and experience</li><li>Ability to travel within CEMEA on short notice</li></ul>
Technical Expertise<br>
<ul><li>Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)</li><li>Strong understanding and experience of modern technology stack and microservice architecture including Kotlin, Spring boot, PostgreSQL, Kafka, AWS</li><li>Relevant experience of engineering unstructured/structured data from Telco, Supermarket, Social Media, Online logs, E-commerce, etc is preferrable</li><li>Ability to write scratch MapReduce jobs and fluency with Spark frameworks</li><li>Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE&rsquo;s (Jupyter Notebooks), proficiency in SAS technologies and techniques is preferred</li><li>Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL</li><li>Experience in drafting solution architecture frameworks that rely on API&rsquo;s and micro-services</li><li>Familiarity with common data modeling approaches and ability to work with various datatypes including JSON, XML, etc.</li><li>Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro</li><li>Proficient in some or all the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, Bagging and Boosting algorithms, etc.</li><li>Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID)</li></ul></div><b><br>
Additional Information</b><p><br>
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</p></div>

Risk Data Science Manager

Emirates Shipping Line FZE

<p>ESL Group seeks an experienced professional to join our organization as the Manager Operations, Data Analytics. This key role will drive strategy, oversight, and management of our data and analytics initiatives. This is a pivotal role in driving a company-wide transformation, partnering with key stakeholders. The ideal candidate will have a background in the carrier or shipping line industry, with a deep understanding of their unique data and analytics needs.</p>
<p> </p>
<p> <strong>Responsibilities:</strong> </p>
<ul>
<li>Develop and implement a comprehensive data and analytics strategy aligned with the overall business objectives to drive data literacy and data-driven decision-making across the organization.</li>
<li> Collaborate with cross-functional teams to identify and define key performance indicators (KPIs) and metrics that align with the business goals and support data-driven decision-making.</li>
<li> Ensure data accuracy, integrity, and security throughout the organization by implementing robust data governance and management practices.</li>
<li>Identify opportunities to leverage advanced analytics techniques, such as predictive modelling and AI, to derive insights, improve operational efficiency, and enhance service offerings.</li>
<li>Stay current with industry trends, technologies, and best practices in data and analytics and apply them to drive innovation and continuous improvement.</li>
<li>Develop strong relationships with internal stakeholders, including senior leadership, to understand their requirements, provide analytics solutions, and communicate insights effectively.</li>
<li>Track and report on key performance metrics related to data and analytics initiatives and present findings, trends, and recommendations to the executive team.</li>
</ul>
<p> </p>
<p> <strong>Requirements:</strong> </p>
<ul>
<li>Tools Smart forecasting   partners  and ESL s volumes using algorithms based on historical volumes and  on the books  data.</li>
<li>Deploying AI/optimization   Researching, sourcing and implementing new tools that enhance visibility and decision making, prepare data landscape to take ESL s offerings online</li>
<li>Source all options of external data including known sources on volumes (Eg: CTS, RITAS) and price (Xeneta, CCFI,SCFI). Similarly, also look for ways to build a lead indicator of demand and supply using data from eSea, commodity prices, supply data and others like PMI.</li>
<li>Setup data connections and key metrics like booking uptake as well as assist with automation of tasks and reporting</li>
</ul>
<p> </p>
<ul>
<li>Bachelor s degree in a relevant field, such as Data Science, Computer Science, Statistics, or a related discipline. A master s degree or higher is preferred a minimum of 8 years of progressive experience in data and analytics.</li>
<li>A background in the carrier or maritime industry, with an understanding of its challenges is preferred but not mandatory.</li>
<li><br></li></ul>

Manager, Operations (Data Analytics)

PayPal

<div><p><b>The Company</b></p><p>
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.</p><p><br>
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.</p><p><br>
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.</p><p><br>
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.</p>
<p>Job Description Summary: As a Decision science manager, you will have have immense opportunity to impact core PayPal&rsquo;s OKRs. You and your team will analyse key performance indicators and track financial and operational metrics with the aim of adapting PayPal&rsquo;s advanced proprietary fraud prevention and experience mechanisms and enabling growth.</p>
<p>Job Description:
</p><p><b>Essential Responsibilities:
</b></p><ul><li>Lead and manage data science projects, ensuring timely delivery and alignment with business goals.</li><li>
Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.</li><li>
Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.</li><li>
Collaborate with cross-functional teams to understand data needs and provide actionable insights.</li><li>
Ensure data quality and integrity through regular audits and validation processes.</li><li>
Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.</li></ul><p></p><p><b>
Expected Qualifications:</b></p><ul><li>
5+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li></ul><p></p>
<p>Additional_Responsibilities_And_Preferred_Qualifications:
</p><p><b>In your role as a Decision Science manager, you will:</b></p><ul><li>
Own a distinct domain and be responsible for end outcomes</li><li>
Own holistic and data-driven risk strategies to support PayPal&rsquo;s global financial business goals</li><li>
Plan and execute long-term projects from start to finish</li><li>
Drive end-to-end processes with partners across many organizations</li><li>
Work with product and platform teams to develop cutting edge, scalable and safe products, to enhance the experience for our global customers</li><li>
Measure performance against KPIs and goals</li><li>
Maintain ongoing communication with stakeholders and peers across the company and share updates with senior leaders in a clear manner</li><li>
Lead and mentor your team members</li></ul><p></p>
<p>PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.</p>
<p>For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.</p><p><b><br>
Our Benefits:</b></p><p>
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.</p><p>
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com<br>
</p><br>
<p><b>Who We Are:</b></p><p>
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx<br>
</p><br>
<p><b>Commitment to Diversity and Inclusion</b></p><p>
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.</p>
<p><b>Belonging at PayPal:</b></p><p>
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.</p><p><br>
Any general requests for consideration of your skills, please Join our Talent Community.</p><p><br>
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</p></div>

Manager, Data Science

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