director of data science

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Role
 
 
 
 The
 
 Director of Data Science (ML)
 
 leads Careem&rsquo;s central Machine Learning and Data Science organization &mdash; a 30+ members team driving applied AI innovation across the Everything App. This leader defines and executes Careem&rsquo;s AI strategy, scaling machine learning capabilities across all verticals, and ensuring AI becomes a core competitive differentiator.
 
 
 You will shape how Careem personalizes user experiences, optimizes its marketplace dynamics, and leverages the latest in Generative AI and Large Language Models to serve millions of customers every day.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Strategic Leadership
 </li>
 <li>
 Define and execute the vision and multi-year strategy for Data Science and Machine Learning across all Careem verticals.
 </li>
 <li>
 Closely partner with product, engineering, and business leaders to identify and prioritize high-impact AI opportunities with measurable business ROI.
 </li>
 <li>
 Drive standardization, scalability, and platformization across ML systems to accelerate delivery and innovation.
 </li>
 <li>
 Evangelize AI across the company, ensuring alignment between AI investments and Careem&rsquo;s overall strategic priorities.
 </li>
 <li>
 Team Leadership &amp; Development
 </li>
 <li>
 Build, lead, and inspire a high-performing team of 30+ ML engineers and data scientists distributed across geographies and domains.
 </li>
 <li>
 Foster a culture of inclusion, experimentation, and excellence &mdash; empowering teams to take ownership and innovate.
 </li>
 <li>
 Ensure clear ownership and accountability across core DS streams, and continuously evolve team structure for scale and accelerating impact.
 </li>
 <li>
 Mentor emerging leaders and invest in developing technical and leadership capabilities across the organization.
 </li>
 <li>
 Technical &amp; Operational Excellence
 </li>
 <li>
 Oversee the design, development, and deployment of end-to-end ML systems &mdash; from data collection and feature engineering to productionized models and monitoring.
 </li>
 <li>
 Partner with engineering to ensure robust infrastructure for training, retraining, and serving ML models at scale.
 </li>
 <li>
 Define and oversee the technical AI roadmap and direction for the team.
 </li>
 <li>
 Lead innovation in Generative AI and LLM applications, ensuring Careem stays at the forefront of applied AI technologies.
 </li>
 <li>
 Champion MLOps and automation to reduce experimentation-to-production cycle time.
 </li>
 <li>
 Product Impact &amp; Delivery
 </li>
 <li>
 Ensure each Data Science domain delivers measurable impact aligned with company OKRs and product outcomes.
 </li>
 <li>
 Collaborate with vertical leaders to embed ML into user-facing experiences (e.g., personalized discovery, dynamic ranking, ETA prediction, integrity systems).
 </li>
 <li>
 Establish clear success metrics and measurement frameworks for AI-driven initiatives with clear AI impact accounting.
 </li>
 <li>
 Champion a data-driven culture across Careem &mdash; ensuring insights and experimentation inform every product and business decision.
 </li>
 <li>
 Cross-Functional Influence
 </li>
 <li>
 Represent Data Science leadership in executive and strategic forums, influencing company priorities and investment decisions.
 </li>
 <li>
 Collaborate closely with Engineering Platform, Product Analytics, and Data Platform teams to align on architecture, tooling, and data strategy.
 </li>
 <li>
 Serve as a thought leader for AI innovation across the region and strengthen collaboration with academia and research centers.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 10+ years of experience in Data Science, ML, or Applied AI, including 5+ years leading large, high-performing technical teams.
 </li>
 <li>
 Proven record of building and scaling ML systems in production for large-scale consumer platforms (e.g., personalization, recommendation, search, marketplace optimization, fraud detection).
 </li>
 <li>
 Advanced degree in Computer Science, Machine Learning, or related field.
 </li>
 <li>
 Demonstrated ability to translate complex ML concepts into strategic business impact.
 </li>
 <li>
 Strong stakeholder management and communication skills across technical and non-technical domains.
 </li>
 <li>
 Deep passion for product-oriented AI &mdash; using data and ML to create delightful, human-centered experiences.
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Provide You
 
 
 
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Director of Data Science

JPMorganChase

<div>JOB DESCRIPTION 
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm&rsquo;s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm&rsquo;s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
This role offers the unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.
Job Responsibilities<ul><li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li>
Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business 
<li>
</li></ul>Required qualifications, capabilities, and skills<ul><li>
PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 7 years of industry or research experience in the field.</li><li>
Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods</li><li>
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li><li>
Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li><li>
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li></ul>
Preferred qualifications, capabilities , and skills:<ul><li>
Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development</li><li>
Knowledge in search/ranking, Reinforcement Learning or Meta Learning</li><li>
Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code</li><li>
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Director Machine Learning Center of Excellence

JumpCloud

<div>
 
 
 All roles at JumpCloud are Remote unless otherwise specified in the Job Description.
 
 
 
 
 
 About JumpCloud
 
 
 JumpCloud&reg; delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud is IT Simplified.
 
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 Our Enterprise Data Analytics function is the strategic engine that fuels data-driven decision-making across the entire organization. We move beyond simply making data visible to defining what data matters and how it is used to achieve critical business outcomes, strategic alignment, and operational excellence globally. The Director will lead the global strategy for analytics, ensuring data insights drive impactful results for all business units, particularly within the fast-paced SaaS and Cybersecurity landscape.
 
 
 
 
 
 
 
 Reporting to the Chief Business Officer, this role will leverage their significant experience in business operations, software engineering, vendor management and integration and exceptional team building to generate an execution machine.&nbsp; This role requires an in-depth knowledge of business operations and processes along with SaaS product development and integration needs in order to create a technology strategy that underpins JumpCloud&rsquo;s data products, PLG, SLP and Partner sales motions, customer lifecycle and G&amp;A motions.&nbsp;
 
 
 
 
 
 
 
 
 
 
 What You'll Be Doing:
 
 <ul>
 <li>
 Define and Champion the Global Data Strategy: Own, develop, and execute the 3-5 year roadmap for Enterprise Data Analytics, ensuring alignment with the overall company and product strategy.
 </li>
 <li>
 This includes identifying key opportunities for leveraging data to drive revenue, efficiency, and customer experience
 </li>
 <li>
 Executive Stakeholder Management &amp; Influence: Act as the primary strategic partner to C-level executives (CFO, COO, CTO, CMO) and senior leadership across Engineering and GTM.&nbsp;
 </li>
 <li>
 Proactively present complex data narratives and actionable insights that drive significant organizational investment and policy change
 </li>
 <li>
 Lead and Scale the Analytics Function: Provide inspirational leadership and mentorship to the Manager-level reports and the broader team. Be accountable for the organizational structure, talent development, succession planning, and performance management of the entire data analytics domain
 </li>
 <li>
 Drive Data Governance and Quality: Establish and enforce global data governance policies, quality standards, and compliance frameworks relevant to a SaaS organization (e.g., security, privacy, international standards). Be the ultimate owner of data integrity and reliability across the enterprise
 </li>
 <li>
 Operational and Financial Oversight: Own and manage the departmental budget, technology stack investments (e.g., tools, platforms, data infrastructure), and vendor relationships. Ensure maximum ROI on all data-related initiatives
 </li>
 <li>
 Accelerate Organizational Efficiency: Systematically identify, prioritize, and eliminate enterprise-level data silos and highly inefficient systems/processes across departments (Sales, Marketing, Product, Finance, etc.), using data insight to compel necessary transformation
 </li>
 <li>
 Cultivate a Data-Driven Culture: Champion the adoption of analytics best practices and data literacy across all functions. Shift the organization's mindset from reporting what happened to predicting what will happen and prescribing action
 
 </li>
 </ul>
 
 
 
 
 We're Looking for (Leadership &amp; Influence Competencies):
 
 <ul>
 <li>
 Strategic Visionary and Transformation Agent: A proven leader who can look beyond the immediate data request to define the foundational capabilities needed for future success. Must demonstrate the ability to drive large-scale, enterprise-wide change initiatives through data
 </li>
 <li>
 Master of Cross-Organizational Influence: Exceptional ability to build and maintain strong, transparent relationships with senior leaders, using data and influence to drive outcomes in highly matrixed environments, especially across international geographies (EMEA/APAC)
 </li>
 <li>
 High Accountability and Ownership: Holds ultimate accountability for the success and failure of the Enterprise Data Analytics function. Exemplifies ownership, transparency, and a high bar for team performance and ethical data usage
 </li>
 <li>
 Servant Leadership Philosophy: Dedicated to the success and career growth of direct and extended team members while balancing strategic objectives. Values humility and shared success while demonstrating decisiveness when accountability is required
 
 </li>
 </ul>
 
 
 
 
 Required Qualifications:
 
 <ul>
 <li>
 Extensive Domain Expertise: Deep, comprehensive knowledge of enterprise data analytics, Visualization ,&nbsp; data warehousing, BI strategy, and predictive modeling within a high-growth SaaS or technology environment
 </li>
 <li>
 Leadership Experience: Proven experience leading a functional domain or department, including managing Managers and being fully accountable for resource allocation, strategy, and personnel decisions
 </li>
 <li>
 Strategic Financial Impact: Demonstrated experience in departmental budgeting, leading significant strategic planning efforts, and driving procedural/technological change that has measurable financial and operational impact
 </li>
 <li>
 Education and Experience: Typically requires a Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Business Analytics) and at least 10+ years of progressive experience, with a minimum of 3-5 years in a senior leadership or Director-level capacity
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 Where you&rsquo;ll be working/Location:
 
 
 JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.
 
 
 
 
 
 
 
 You must be located in and authorized to work in the country noted in the job description to be considered for this role.&nbsp;
 
 
 
 
 
 Please note: There is an expectation that our engineers participate in on-call shifts. You will be expected commit to being ready and able to respond during your assigned shift, so that alerts don't go unaddressed.
 
 
 
 
 
 
 
 Language:
 
 
 JumpCloud has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud, you will be required to speak and write in English fluently.&nbsp; Any additional language requirements will be included in the details of the job description.
 
 
 
 
 
 
 
 Why JumpCloud?
 
 &nbsp;
 
 
 
 If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud is an incredible place to share and grow your expertise! You&rsquo;ll work with amazing talent across each department who are passionate about our mission. We&rsquo;re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You&rsquo;ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.&nbsp;&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 One of JumpCloud's three core values is to &ldquo;Build Connections.&rdquo; To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO
 
 
 
 
 &nbsp;
 
 
 
 
 Please submit your r&eacute;sum&eacute; and brief explanation about yourself and why you would be a good fit for JumpCloud.&nbsp; Please note JumpCloud is not accepting third party resumes at this time.&nbsp; &nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 JumpCloud is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
 
 
 
 
 
 
 
 
 Scam Notice:
 
 
 
 
 
 Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.
 
 
 
 
 
 
 
 All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line "Scam Notice"&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 #BI-Remote
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

Director of Enterprise Data Analytics - India

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</li>
<li>Standard Work Schedule:</li>
<li>Building:</li>
<li>Salary Range: $70,000 - $80,000</li>
</ul><div>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.</div> 
<div></div>

Position Summary

Reporting directly to the Associate Director of Regulatory Science (the &quot;Associate Director&quot;) of the Clinical Trials Office (the &quot;CTO&quot;) of Columbia University's Vagelos College of Physicians &amp; Surgeons (&quot;P&amp;S&quot;) at Columbia University Irving Medical Center (&quot;CUIMC&quot;), the Regulatory Science Specialist assists the Associate Director in overseeing the CTO's regulatory compliance and providing assistance to the research community in the development and conduct of clinical trials.

The CTO, which is operated jointly with the New York-Presbyterian Hospital (&quot;NYPH&quot;) assists investigators and academic/research staff in developing clinical trials at CUIMC and provides administrative resources and infrastructure to build and sustain clinical trials research.

Responsibilities

The Regulatory Science Specialist is responsible for the following:
<ul>
<li>Collaborates with the Associate Director, the Executive Director of the CTO (the &quot;Director&quot;), the Medical Director of the CTO, CUIMC faculty and administration and NYPH administration in meeting the institutional needs regarding clinical trial compliance, quality assurance, training and process-improvement goals.</li>
<li>Assists the Associate Director in developing and implementing policies and procedures designed to assure that clinical trials are carried out in compliance with applicable federal and state regulations, including those promulgated in the U.S. Food and Drug Administration, the U.S. Department of Health and Human Services, the Centers for Medicare and Medicaid Services and the rules of the Joint Commission.</li>
<li>Assists the Medical Director and Associate Director of Regulatory Science in implementing the IND/IDE Assistance Program, which provides regulatory guidance in connection with investigator initiated clinical trials.</li>
<li>Assists in the implementation of a training program for research personnel, including research newsletters, workshops, and didactic training sessions upon request.</li>
<li>Provides guidance regarding regulatory and institutional requirements to investigators and research personnel</li>
<li>Provides assistance and support in creating and maintaining www.ClinicalTrials.gov records in compliance with applicable regulations and policies.</li>
<li>Participates in the Clinical Trials Monitoring Assistance Program (CTMAP) that includes oversight and monitoring of investigator/coordinator compliance with standard operating procedures as they pertain to the conduct of FDA regulated clinical trials.</li>
<li>Collaborates with the CTSA and the HRPO/IRB in developing programs such as programs to increase patient recruitment and to address regulatory and compliance needs.</li>
<li>Provides support of RecruitMe Platform for the CUIMC research community including:</li>
<li>Coordinating with investigators and research teams in RecruitMe entry.</li>
<li>Developing training and process improvement projects, and other project management duties with RecruitMe.</li>
<li>Collaborating with the Director and Associate Director to implement objectives and workflow strategies for content maintenance on RecruitMe and other CTO websites.</li>
<li>Fulfilling reporting requirements for management, including metrics from Google Analytics data.</li>
<li>Monitoring external communications for social media websites.</li>
<li>Liaising with RecruitMe contacts, information technology (&quot;IT&quot;) groups, CTSA leadership, outside vendors and/or internal partners in research for needs related to RecruitMe and other CTO websites.</li>
Represents the Manager and Director in his/her absence and all other duties as assigned. 
<li>
</li>
</ul>Minimum Qualifications
<ul>
<li>Bachelor's degree</li>
<li>At least 4 years of experience in conducting clinical research</li>
</ul>
Preferred Qualifications
<ul>
<li>In depth knowledge of federal, state and local laws and regulations and industry requirements and practices regarding the proper conduct of clinical trials:</li>
<li>Particular knowledge and experience in FDA matters, including regulations relating to INDs and IDEs</li>
<li>Expert working knowledge in GCP, patient safety standards and IRB regulations pertinent to clinical research</li>
<li>Demonstrable ability to collaborate with partners in research, investigators and coordinators</li>
<li>Excellent verbal and written communication skills</li>
<li>Excellent interpersonal and presentation skills</li>
<li>Strong computer skills required, including proficiency with content management systems, social media websites, Microsoft Office</li>
Ability to manage/handle multiple tasks, teams, and teamwork simultaneously. 
<li>
</li>
</ul>Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.</div>

Regulatory Science Specialist

Mastercard

<div>
 
 Our Purpose
 
 
 
 
 Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
 
 
 
 
 Title And Summary
 
 
 
 Director, Data Scientist
 
 
 Director, Data Science
 
 
 
 Overview
 
 
 
 We believe in the power of data to transform the way we do business. As part of our Finance Modernization initiative, we are reimagining how AI and Data Analytics, drive insight, efficiency, and strategic decision making.
 
 
 The Global Business Services Center (GBSC) Analytics &amp; Automation team is a hub of innovation. an idea incubator composed of strong contributors with leadership capabilities, business acumen, and technical expertise. The team identifies ways to leverage data and AI for answering business questions and driving operational efficiency. We innovate using AI and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging, improving processes and productivity, and overall evolving the way we do business.
 
 
 As Director, Data Science, you will drive foundational AI strategy and execution for business operations. You will define roadmap, architect solutions, and lead cross-functional delivery to unlock and communicate measurable efficiency and innovation. You will work hands-on with data scientists, ML and platform engineers, and senior business leaders to deliver high-impact use cases.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Develop AI-driven strategies to support business value.
 </li>
 <li>
 Identify, qualify, and prioritize high-impact AI opportunities across business domains.
 </li>
 <li>
 Translate north star vision into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery.
 </li>
 <li>
 Enable quick and iterative delivery of AI solutions with consistent value creation.
 </li>
 <li>
 Collaborate with cross-functional teams (Finance BAs, Privacy, AI Governance, Info Security, BizOps, etc.) to design development patterns fit for productionizing and scale.
 </li>
 <li>
 Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements.
 </li>
 <li>
 Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale.
 </li>
 <li>
 Oversee the end-to-end implementation of data science and AI solutions&mdash;from concept and prototype through deployment, integration, and performance monitoring.
 </li>
 <li>
 Develop and maintain a value realization framework that quantifies the business impact of data science initiatives (e.g., cost optimization, working capital improvements, revenue enhancement, or process automation).
 </li>
 <li>
 Continuously evaluate and refine models and solutions to maximize financial and operational outcomes.
 </li>
 <li>
 Lead and manage the ML Ops team, ensuring scalable deployment, automation, and monitoring of machine learning models across environments.
 
 
 
 </li>
 </ul>
 
 All About You
 
 
 
 <ul>
 <li>
 10 to 12+ years hands-on leadership of technology strategies, leveraging data and AI to solve complex business problems and drive measurable impact in large, regulated environments.
 </li>
 <li>
 Proven track record influencing and aligning executives and cross-functional teams to deliver outcomes at scale.
 </li>
 <li>
 Strong communicator &ndash; executive presence, crisp storytelling, and the ability to translate complex technical concepts into actionable business strategy.
 </li>
 <li>
 Highly competent problem solving and solutioning skills; able to demonstrate business need as well as technical solution discovery and design.
 </li>
 <li>
 Proven experience in productionizing AI capabilities based on large datasets, and modern AI patterns (LLMs, RAG, vector databases, embeddings, prompt/response optimization, agents &amp; tools).
 
 
 
 </li>
 </ul>
 Good to Have
 
 
 <ul>
 <li>
 Experience in the financial institutions or payments industry.
 </li>
 <li>
 Knowledge of cloud computing (Databricks, AWS).
 </li>
 <li>
 Familiarity with agile methodologies
 
 
 
 </li>
 </ul>
 
 Corporate Security Responsibility
 
 
 
 All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
 
 
 <ul>
 <li>
 Abide by Mastercard&rsquo;s security policies and practices;
 </li>
 <li>
 Ensure the confidentiality and integrity of the information being accessed;
 </li>
 <li>
 Report any suspected information security violation or breach, and
 </li>
 <li>
 Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.
 </li>
 </ul>
</div>

Director, Data Scientist

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Director, Data Scientist
Director, Data Science
 
Overview 
 
We believe in the power of data to transform the way we do business. As part of our Finance Modernization initiative, we are reimagining how AI and Data Analytics, drive insight, efficiency, and strategic decision making. 
The Global Business Services Center (GBSC) Analytics &amp; Automation team is a hub of innovation. an idea incubator composed of strong contributors with leadership capabilities, business acumen, and technical expertise. The team identifies ways to leverage data and AI for answering business questions and driving operational efficiency. We innovate using AI and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging, improving processes and productivity, and overall evolving the way we do business. 
As Director, Data Science, you will drive foundational AI strategy and execution for business operations. You will define roadmap, architect solutions, and lead cross-functional delivery to unlock and communicate measurable efficiency and innovation. You will work hands-on with data scientists, ML and platform engineers, and senior business leaders to deliver high-impact use cases. 
 
Your Role and Responsibilities: 
<ul><li>Develop AI-driven strategies to support business value.</li><li>Identify, qualify, and prioritize high-impact AI opportunities across business domains.</li><li>Translate north star vision into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery.</li><li>Enable quick and iterative delivery of AI solutions with consistent value creation.</li><li>Collaborate with cross-functional teams (Finance BAs, Privacy, AI Governance, Info Security, BizOps, etc.) to design development patterns fit for productionizing and scale.</li><li>Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements.</li><li>Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale.</li><li>Oversee the end-to-end implementation of data science and AI solutions&mdash;from concept and prototype through deployment, integration, and performance monitoring.</li><li>Develop and maintain a value realization framework that quantifies the business impact of data science initiatives (e.g., cost optimization, working capital improvements, revenue enhancement, or process automation).</li><li>Continuously evaluate and refine models and solutions to maximize financial and operational outcomes.</li><li>Lead and manage the ML Ops team, ensuring scalable deployment, automation, and monitoring of machine learning models across environments.</li></ul> 
All about you 
 
<ul><li>10 to 12+ years hands-on leadership of technology strategies, leveraging data and AI to solve complex business problems and drive measurable impact in large, regulated environments.</li><li>Proven track record influencing and aligning executives and cross-functional teams to deliver outcomes at scale.</li><li>Strong communicator &ndash; executive presence, crisp storytelling, and the ability to translate complex technical concepts into actionable business strategy.</li><li>Highly competent problem solving and solutioning skills; able to demonstrate business need as well as technical solution discovery and design.</li><li>Proven experience in productionizing AI capabilities based on large datasets, and modern AI patterns (LLMs, RAG, vector databases, embeddings, prompt/response optimization, agents &amp; tools).</li></ul> 
Good to Have 
 
<ul><li>Experience in the financial institutions or payments industry.</li><li>Knowledge of cloud computing (Databricks, AWS).</li><li>Familiarity with agile methodologies</li></ul>
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul></div>

LMKR

<div>
 
 
 Job Summary:
 
 
 
 Director Enterprise Technology Operations is responsible for overseeing the smooth operation of systems, servers, managing cloud infrastructure, and ensuring system reliability. This role focuses on minimizing downtime, managing migrations and upgrades, and collaborating with other teams to ensure seamless operations. The Director will also oversee SOC, NOC, network, and cyber security operations. Additionally, the Director must ensure that end users receive high-class service consistently, resulting in high levels of satisfaction among end users and customers. Ensure there is no downtime outside of scheduled maintenance windows, and minimize scheduled downtime.
 
 
 
 
 
 
 
 
 
 Job Description:
 
 
 <ul>
 <li>
 Manage systems, servers, and services, ensuring their reliability and smooth operations.
 </li>
 <li>
 Handle migrations and upgrades, ensuring seamless transitions in a hybrid environments.
 </li>
 <li>
 .Oversee cloud services (Azure and AWS), including Exchange Online, Entra ID, M365, and Exchange Online Protection (EOP).
 </li>
 <li>
 Manage on-prem and cloud infrastructure, including Windows and Linux servers, Active Directory, Hyper-V, Web Application Firewalls, Multi-Factor Authentication, and data backup and recovery solutions.
 </li>
 <li>
 Manage NOC operations, ensuring network uptime, performance monitoring, and troubleshooting network issues.
 </li>
 <li>
 Ensure there is no downtime outside of scheduled maintenance windows, and minimize scheduled downtime.
 </li>
 <li>
 Oversee SOC operations, ensuring timely detection, investigation, and mitigation of security threats.
 </li>
 <li>
 Lead cyber security operations, implementing strategies for incident response planning, vulnerability management, and proactive security measures.
 </li>
 <li>
 Contribute to modernization projects, aligning with the company's strategic goals in IT infrastructure development.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Experience managing systems, on-prem and cloud infrastructure.
 </li>
 <li>
 Expertise in managing servers and services.
 </li>
 <li>
 Strong knowledge of Exchange Online, Entra ID, M365, and EOP.
 </li>
 <li>
 Proficiency in Windows and Linux server administration.
 </li>
 <li>
 Expertise in Active Directory management.
 </li>
 <li>
 Proficiency in handling Exchange migrations and upgrades.
 </li>
 <li>
 Knowledge of Hyper-V virtualization.
 </li>
 <li>
 Experience with Web Application Firewalls.
 </li>
 <li>
 Proficiency in Multi-Factor Authentication solution
 </li>
 <li>
 Knowledge of data backup and recovery solutions.
 </li>
 <li>
 Experience overseeing SOC (Security Operations Center) operations, ensuring timely detection, investigation, and mitigation of security threat.
 </li>
 <li>
 Experience managing NOC (Network Operations Center) operations, ensuring network uptime, performance monitoring, and troubleshooting network issue.
 </li>
 <li>
 Understanding of network security principles and best practices.
 </li>
 <li>
 Ability to implement and manage cyber security strategies, incident response planning, and vulnerability management.
 </li>
 <li>
 Ability to educate and train staff on cyber security best practice.
 </li>
 <li>
 Ensuring no downtime outside of scheduled maintenance.
 </li>
 <li>
 Commitment to providing high-class service to end users and customers.
 </li>
 <li>
 Ability to collaborate effectively with other teams.
 </li>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Strong communication and interpersonal skills.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Minimum 15 years of experience in managing on-prem datacenter systems and infrastructure, SOC/NOC operations, with at least 8 years of experience in managing cloud services.
 </li>
 <li>
 Preferred candidates will have 17+ years of experience with datacenters, SOC/NOC operations, and 10+ years with cloud services.
 </li>
 </ul>
 
 
 
 
 
 Education/Qualification:
 
 
 <ul>
 <li>
 Minimum requirement: Bachelor&rsquo;s Degree in IT or Computer Science.
 </li>
 <li>
 Preferred: Master&rsquo;s Degree in IT or Computer Science.
 </li>
 </ul>
 
 
 
 
 
 Job Location:
 
 
 <ul>
 <li>
 Islamabad(On-site)
 </li>
 </ul>
</div>

Director Enterprise Technology Operations

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