director data analytics

Philip Morris International U.S.

<div><div><p><b>Director Data Science and Advanced Analytics &ndash; Stamford, CT</b></p></div><p></p><div><p><br>
Be a part of a revolutionary change!</p></div><p></p><div><p><br>
At Philip Morris International (PMI), we&rsquo;ve chosen to do something incredible. We&rsquo;re totally transforming our business and building our future on one clear purpose &ndash; to deliver a smoke-free future.</p></div><p></p><div><p><br>
With huge change, comes huge opportunity. So, if you join us, you&rsquo;ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions. Our success depends on people who are committed to our purpose and have an appetite for progress.</p></div><p></p><div><p><br>
Our beautiful HQ in Stamford, CT is just steps away from the Stamford Metro-North Train Station and easily accessible from NYC.</p></div><p></p><div><p><b><br>
Your &lsquo;day to day&rsquo;:</b></p></div><div><p>
The Director, Advanced Analytics will lead the strategy, execution, and adoption of advanced analytics across the enterprise, shaping how predictive analytics, machine learning, and AI are applied to drive growth, productivity, and operational excellence.</p><ul><li><p>
Advanced analytics strategy &amp; portfolio leadership. Own the advanced analytics portfolio and roadmap, defining a standardized approach to generating insights and decision products. Prioritize initiatives based on value, feasibility, and appropriate risk or regulatory considerations, partnering with business leaders on outcomes rather than just deliverables.</p></li><li><p>
Enterprise team leadership. Build, lead, and mentor a high‑performing team spanning data science, decision science, analytics engineering, and insight translation. Establish a culture of curiosity, accountability, and continuous learning with clear expectations and development paths.</p></li><li><p>
Solution delivery at scale. Lead the development and deployment of predictive models, machine‑learning solutions, and AI‑enabled analytics that improve decision quality, automation, forecasting, and personalization.</p></li><li><p>
Standardized ways of working. Establish consistent analytics and model lifecycle practices across experimentation, development, deployment, and monitoring. Where appropriate, leverage modern platforms and tooling (e.g., Databricks‑based workflows and MLOps practices) to ensure reproducibility, scalability, and reliability.</p></li><li><p>
Data foundations and enablement. Partner closely with Data Engineering, Data Architecture, and Data Product Management to ensure high‑quality, curated, and governed data and features are available to support advanced analytics and production use cases.</p></li><li><p>
Business partnership &amp; insight‑to‑action. Act as a senior advisor to stakeholders&mdash;translating ambiguous business questions into analytic hypotheses, measurement plans, and actionable recommendations. Embed enablement and change management to drive adoption.</p></li><li><p>
Model risk, governance, and responsible AI. Implement and uphold standards for model documentation, validation, explain-ability, fairness and bias considerations, monitoring, and value tracking in partnership with IT, Security, and Compliance.</p></li><li><p>
Value measurement and communication. Quantify business impact (e.g., revenue uplift, margin improvement, cost‑to‑serve reduction, forecast accuracy gains) and communicate outcomes clearly to executive and non‑technical audiences</p></li></ul></div><p></p><div><p><b><br>
Who we&rsquo;re looking for:</b></p></div><div><p>
We&rsquo;re looking for a strategic advanced analytics leader with strong people leadership and practical technical grounding, capable of operating effectively in a large enterprise environment.</p><ul><li><p>
Legally authorized to work in the U.S.</p></li><li><p>
Commutable distance to Stamford, CT.</p></li><li><p>
10+ years of experience in analytics, data science, or decision science, with 5+ years leading teams and portfolios delivering production‑ready solutions.</p></li><li><p>
Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Economics, Operations Research, or a related field (Master&rsquo;s or PhD a plus).</p></li><li><p>
Proven track record delivering predictive analytics, ML, or AI solutions with measurable business impact.</p></li><li><p>
Strong people‑leadership capabilities, including hiring, mentoring, performance management, and team development.</p></li><li><p>
Solid hands‑on understanding of modern analytics and ML techniques, experimentation design, and measurement approaches; able to engage credibly with data scientists and engineers.</p></li><li><p>
Familiarity with modern analytics platforms and ecosystems (e.g., Databricks, Snowflake, cloud data platforms) and model operationalization practices (MLOps, CI/CD, monitoring).</p></li><li><p>
Experience establishing or maturing analytics standards, governance, and model lifecycle management practices.</p></li></ul></div><p></p><div><p><b><br>
Annual Base Salary Range:</b> $281,600 - $352,000</p></div><p></p><div><p><b><br>
What we offer:</b></p><ul><li><p>
We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!</p></li><li><p>
We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.</p></li><li><p>
Seize the freedom to define your future and ours. We&rsquo;ll empower you to take risks, experiment and explore.</p></li><li><p>
Be part of an inclusive, diverse culture where everyone&rsquo;s contribution is respected; Collaborate with some of the world&rsquo;s best people and feel like you belong.</p></li><li><p>
Pursue your ambitions and develop your skills with a global business &ndash; our staggering size and scale provides endless opportunities to progress.</p></li><li><p>
Take pride in delivering our promise to society: To improve the lives of millions of smokers</p></li></ul></div><p></p><div><p><br>
PMI is an Equal Opportunity Employer.</p></div><div><p>
PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees.</p></div><div><p>
PMI has been an entirely separate company from Altria and Philip Morris USA since 2008. PMI&rsquo;s affiliates first entered the U.S. market following the company&rsquo;s acquisition of Swedish Match in late 2022.</p></div><div><p>
Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match &ndash; a leader in oral nicotine delivery &ndash; creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI&rsquo;s IQOS electronically heated tobacco devices and Swedish Match&rsquo;s General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit www.pmi.com/us and www.pmiscience.com.</p></div><p></p><div><p><br>
#PMIUS #LI-LC1</p></div></div>

Director Data Science and Advanced Analytics

National Life Group

<div><div><p>Come join one of America's fastest-growing insurance companies. Since 1848, National Life Group has aimed to keep our promises, providing families with stability in good times and in bad. Throughout that history, we have provided peace of mind to those families as they plan their futures.</p>
<p>
Our mission extends beyond the insurance and annuities policies that we offer. We strive to make the world a better place through our grants from our charitable foundation, paid volunteer time for our employees, environmentally sustainable and healthy workplaces, and events that promote the work of nonprofits in our own backyard.</p>
<p>
We foster a collaborative environment with opportunities for growth and encourage our associates to live our values: <b>Do good. Be good. Make good.</b></p></div><p><i>
Please note that we do not offer visa sponsorship for this position.</i></p>
<h2 class="jobSectionHeader"><b>
Role Summary</b></h2>
<p>
At National Life Group, our enterprise data and analytics practice is well established, and we are now focused on further evolving and maturing how we organize, govern, and unlock value from our data. To sustain that progress it is critical that we have timely, accurate, consistent and well-defined data throughout the organization. Success depends on strong commitment &amp; collaboration from all areas of the organization, and the Advanced Analytics &amp; Governance team within the Chief Data Office is central to advancing this work.</p>
<p>
The Director, Advanced Analytics &amp; Governance is a senior leadership role within the Chief Data Office responsible for driving the continued maturation of the organization's analytics and reporting capabilities and for advancing enterprise-wide analytics standards. In this role, you will lead a team of data analysts, analytics engineers, reporting governance specialists, and data stewards to deliver high-impact solutions while ensuring data is trusted, secure, compliant, and governed effectively across the enterprise. You'll operate at the intersection of business, analytics, and technology &mdash; bridging technical innovation in advanced analytics with robust data governance, privacy, and ethical standards.</p>
<p>
As a senior leader on our data team, the Director, Advanced Analytics &amp; Governance will set the strategy and oversee execution of analytics initiatives across the organization, building on an established foundation. Key responsibilities include:</p>
<h2 class="jobSectionHeader"><b>
Essential Duties and Responsibilities</b></h2>
<ul><li>Evolve and execute the enterprise strategy for advanced analytics and reporting governance in alignment with the overall CDO vision and business objectives.</li>
<li>Lead the design, development, and deployment of advanced analytics solutions &mdash; including predictive modeling, machine learning, deep learning, and optimization &mdash; and oversee the end-to-end analytics lifecycle from problem framing through model deployment and monitoring.</li>
<li>Mature and scale the enterprise analytics platform and self-service analytics environment to empower business users while maintaining governance controls.</li>
<li>Oversee production support and administration of the data analytics systems, ensuring reliability, availability, and operational excellence across the environment.</li>
<li>Continuously refine and strengthen the enterprise analytics governance framework, including policies, standards, quality metrics, SLAs, metadata management, and remediation processes.</li>
<li>Lead reporting stewardship programs and ensure clear ownership and accountability across business and technology teams; oversee compliance with data-related regulations (GDPR, CCPA/CPRA, HIPAA, etc.) and internal policies for privacy, security, and ethical data usage.</li>
<li>Build, mentor, and lead the Business Informatics team, manage talent acquisition, performance management, career development, and succession planning.</li>
<li>Partner with business leaders, IT, and other CDO functions to identify high-value use cases where advanced analytics can drive revenue, efficiency, customer experience, or risk mitigation.</li>
<li>Act as a trusted advisor to the CDO and executive leadership; present complex analytics findings and governance strategies to senior executives and non-technical stakeholders in clear, actionable terms.</li>
<li>Evaluate and recommend analytics and governance tools and technologies (e.g., Tableau, Power BI, Databricks) and drive adoption of modern analytics and reporting architectures leveraging the enterprise data platform.</li>
<li>Champion a data-driven culture by deepening adoption of analytics insights and governed data assets across the organization.</li>
</ul>
<p>Obviously, we are looking for someone who loves data! Beyond that, a successful candidate will be a strategic leader who is energized by the work of further maturing and evolving an established analytics practice. They will also contribute to the culture of National Life &ndash; where servant leadership, company values &amp; applying learnings to performance are valued above all else.</p>
<h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2>
<ul><li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Information Systems, Analytics, or a related quantitative field</li>
<li>10+ years of progressive experience in data analytics, data science, or data governance, with at least 5+ years in a leadership role</li>
<li>Proven track record of advancing and scaling advanced analytics capabilities in a complex organization</li>
<li>Strong experience refining and operating enterprise analytics governance programs, including data quality, metadata, and compliance frameworks</li>
<li>Analytical mindset with the ability to navigate ambiguity in decision making and to translate complex technical concepts into business language</li>
<li>Deep expertise in modern data platforms (cloud, Databricks, Snowflake, etc.) is preferred</li>
<li>Strong knowledge of programming languages such as Python, R, and SQL, and big data technologies (Spark, Hadoop, etc.) is preferred</li>
<li>Experience with MLOps, model lifecycle management, data cataloging, lineage, and quality management platforms is preferred</li>
<li>Familiarity with cloud platforms (AWS, Azure, GCP) and modern data architectures is preferred</li>
<li>Experience working in a Chief Data Office (CDO) or similar central data organization is preferred</li>
<li>Industry experience in Life Insurance is preferred</li>
<li>Certifications such as CDMP (Certified Data Management Professional), DAMA, or analytics governance certifications are preferred</li>
</ul><h2 class="jobSectionHeader"><b>Key Competencies &amp; Personal Attributes:</b></h2>
<ul><li><b>Strategic Thinking: </b>Ability to align technical capabilities with business outcomes.</li>
<li><b>Leadership &amp; Influence: </b>Proven ability to lead without direct authority and influence at all levels.</li>
<li><b>Communication: </b>Exceptional ability to translate complex technical concepts into business language.</li>
<li><b>Collaboration: </b>Strong partnership-building skills across diverse stakeholder groups.</li>
<li><b>Innovation Mindset: </b>Passion for leveraging emerging technologies to solve business problems.</li>
<li><b>Ethical Orientation: </b>Deep commitment to responsible data and analytics practices.</li>
<li><b>Results-Oriented: </b>Demonstrated ability to deliver measurable business impact through analytics and governance.</li></ul><br>
<p></p>
<p><b>
Benefits</b></p>
<ul>
<li>Your benefits start day one and are flexible and customizable to your and your family's specific needs. Check out the BENEFITS of a Career at National Life!</li>
</ul><div><p>
National Life Group&reg; is a trade name of National Life Insurance Company, Montpelier, VT &ndash; founded in 1848, Life Insurance Company of the Southwest, Addison, TX &ndash; chartered in 1955, and their affiliates. Each company of National Life Group is solely responsible for its own financial condition and contractual obligations. Life Insurance Company of the Southwest is not an authorized insurer in New York and does not conduct insurance business in New York. Equity Services, Inc., Member FINRA/SIPC, is a Broker/Dealer and Registered Investment Adviser affiliate of National Life Insurance Company. All other entities are independent of the companies of National Life Group.</p>
<p>
Fortune 1000 status is based on the consolidated financial results of all National Life Group companies.</p>
<p>
Social Media Policy</p>
<p>
Site Disclosure and Privacy Policy</p>
<p>
National Life Group</p>
<p>
1 National Life Dr</p>
<p>
Montpelier, VT 05604</p></div></div><p></p>

Director, Advanced Analytics & Governance

Aga Khan University

<div><div>Analyst, Global Data &amp; Analytics Office - (260001DW)</div><div><div><br>
</div><div><b>Analyst, Global Data &amp; Analytics Office</b></div><div></div><div><b><br>
Entity: </b>Aga Khan University</div><div><br>
</div><div><b>
Location: </b>Karachi</div><br>
<div><br>
</div><div><b>Introduction to the Aga Khan University:<br>
</b></div><div></div><br>
<div>The Aga Khan University is a private, international university committed to international standards of excellence in teaching, research and service. Its teaching hospital, the Aga Khan University Hospital has been accredited by the prestigious Joint Commission International for achieving the highest international healthcare standards.</div><div><br>
</div><div><b>
Job Role / Responsibilities:</b></div><div></div><div><br>
Reporting to the Manager, Business Intelligence you are expected to analyse, program, maintain, and expand operational reporting, business intelligence (BI), and data warehouse (DW) solutions as part of Business Intelligence Team (BIT) under Global Data and Analytics Office (GDAO) within ICT. You must have excellent analytical and problem-solving skills whilst working independently in a global organization with minimal supervision.</div><div></div><div><br>
Specifically, you will be responsible to;</div>
<ul><li>create and maintain BI applications whilst gaining in-depth understanding of the existing applications, both the technical and business aspects</li><li>
design, develop, and support development of reporting framework(s), data warehouse, datasets, ETL packages, dashboards, and analytical reports</li><li>
participate in all phases of solution development from business requirements, analysis, design, development, and implementation phases</li><li>
develop and grow understanding and application of Data Modelling and Data Analysis Techniques</li><li>
work on data management, integration and reporting tools in use including but not limited to SSIS, SSMS, SSRS, IBM Cognos, and Power BI; and be proficient in the same over time</li><li>
liaison with Business users / Sections / Departments / others to gather and validate requirements for delivery of the results</li><li>
operate within practices and procedures for smooth functioning of all operational services as per quality standards.
</li><li>continue to add \ evolve best practices, processes for solution development</li><li>
develop and document test plans and user manuals. 10. Participate in or support work stream planning process.</li></ul></div><div></div><div><br>
<div>
</div><div><b>Eligibility Criteria / Requirements:</b></div>
<ul><li>possess a formal and recognized degree in Computer Science or related disciplines, such as Bachelor and\or Masters in Computer Science, MBA in MIS, etc. Professional Certification in a relevant field will be an added advantage</li><li>
0 to 2 years of professional experience in working with BI/Data warehouse/Data science tools</li><li>
the ideal candidate will have - expertise in Microsoft SQL Server \ BI Solutions, Exposure \ experience with IBM Cognos Analytics, Basic knowledge of Python \ R</li><li>
ability to understand the importance of clean and well-governed data and effectively leverage data and analytics to help the organization make data-driven business decision.
</li><li>ability to work with a global team to achieve a common vision across the organization and globally to support data and analytics needs</li><li>
ability to identify client needs and expectations and responds to requests efficiently and effectively while acts beyond explicit request within established service standards.
</li><li>able to meet client needs in a respectful, helpful, and responsive manner and seek feedback to develop a clear understanding of client needs and outcomes</li><li>
ability to identify opportunities to improve processes and strategies with technology solutions promoting the vision of the Global Data and Analytics Office</li><li>
ability to complete tasks in accordance with plans and sets priorities for tasks in order of importance</li><li>
ability to set goals and works to meet established expectations and adapts working methods to achieve objectives</li><li>
ability to listen actively and objectively and present appropriate information in a clear and concise manner, both orally and in writing</li></ul><div>
</div></div><div>
Primary Location: Pakistan</div><div>
Organisation: Aga Khan Hospital &amp; Medical College</div><div>
Employee Status: Regular</div><div>
Job Type: Standard</div><div>
Job Posting: 27/04/2026, 7:26:56 AM</div><div>
Closing Date: 11/05/2026, 1:59:00 PM</div></div>

Analyst, Global Data & Analytics Office

Palm Tree

<div><b>Associate/Senior Associate, Data &amp; Analytics</b><br>
<br>
<b>About Palm Tree</b><br>
Palm Tree is a modern M&amp;A value creation firm that integrates financial consulting, operational consulting, and investment banking services. Founded in 2010, Palm Tree partners with private equity firms, business operators, and management teams through strategic events including acquisitions, carve-outs, recapitalizations, restructurings, integrations, and performance improvement initiatives.<br>
Palm Tree&rsquo;s Data &amp; Analytics practice helps private equity portfolio companies and middle-market businesses build modern, insight-driven data capabilities. Our team works alongside executive leadership to design, implement, and optimize data infrastructure and analytics solutions that provide real-time visibility into operational and financial performance.<p></p><b>
The Senior Associate Position</b><br>
The Senior Associate is a key execution leader within Palm Tree&rsquo;s Data &amp; Analytics practice. Senior Associates manage client workstreams, build analytics solutions, and help organizations translate complex data into actionable insights.<br>
This role blends hands-on technical development with client-facing collaboration. Senior Associates work directly with business stakeholders to design data models, build reporting infrastructure, and implement analytics frameworks that support operational decision-making.<br>
The ideal candidate thrives in fast-paced environments, enjoys solving complex data challenges, and is comfortable working in entrepreneurial settings where processes and solutions are continuously evolving.<p></p><b>
Core Responsibilities</b><br>
<b>Data Modeling &amp; Engineering</b><ul><li>
Write production SQL to model, transform, and validate data across multiple source systems including ERP, CRM, and operational databases
</li><li>Build and maintain scalable data models that support reporting and analytics use cases
</li><li>Optimize query performance across complex multi-table schemas
</li><li>Document data pipelines, transformation logic, and business rules
</li></ul><b>Business Intelligence &amp; Reporting</b><ul><li>
Develop and maintain Power BI semantic models, reports, and dashboards
</li><li>Design KPI reporting frameworks that provide leadership teams with clear operational insights
</li><li>Implement row-level security and governance controls within BI environments
</li><li>Support deployment and maintenance of reporting pipelines
</li></ul><b>Data Strategy &amp; Client Engagement</b><ul><li>
Translate business questions into data requirements and analytical frameworks
</li><li>Partner with client stakeholders to define metrics, reporting needs, and data structures
</li><li>Support data governance, quality assurance, and analytics best practices
</li><li>Lead meetings and working sessions with business and technical stakeholders
</li></ul><b>Analytics Delivery &amp; Workstream Ownership</b><ul><li>
Independently manage analytics workstreams across client engagements
</li><li>Scope projects, estimate level of effort, and manage delivery timelines
</li><li>Synthesize insights from structured and unstructured data sources
</li><li>Deliver actionable recommendations that support operational and financial decision-making
</li></ul><b>Team Development &amp; Practice Growth</b><ul><li>
Mentor and support junior team members across analytics engagements
</li><li>Contribute to internal knowledge development and data architecture standards
</li><li>Support development of analytics methodologies and delivery frameworks within the practice
</li></ul><p></p><b>Qualifications</b><ul><li>
3+ years of experience in data analytics, business intelligence, or data engineering roles
</li><li>Strong SQL proficiency, including CTEs, window functions, subqueries, and complex joins
</li><li>Hands-on experience building Power BI models, DAX measures, and dashboards
</li><li>Experience translating business requirements into analytical frameworks and reporting solutions
</li><li>Strong communication skills with the ability to engage both technical and non-technical stakeholders
</li><li>Ability to manage multiple workstreams in fast-paced consulting or advisory environments
</li></ul>The ideal candidate will demonstrate strong analytical thinking, curiosity, and a willingness to solve complex data problems in entrepreneurial environments.<p></p><b>
Preferred Experience</b><ul><li>
Experience working with cloud data platforms such as Azure or Snowflake
</li><li>Familiarity with ETL/ELT tools including Azure Data Factory or dbt
</li><li>Experience using Python for data transformation or automation
</li><li>Exposure to private equity or portfolio company environments
</li><li>Familiarity with ERP systems such as AS/400, NetSuite, or similar
</li></ul><p></p><b>Compensation and Benefits</b><ul><li>
Base salary range of $125,000&ndash;$150,000, with performance-based bonus opportunities.</li><li>
Comprehensive benefits package including medical, dental, and vision insurance.</li><li>
Competitive 401(k) program with employer matching contributions.</li><li>
Hybrid work environment with access to offices in Los Angeles, Chicago, and New York.</li><li>
Unlimited paid time off (PTO).</li><li>
Opportunities for career advancement within a merit-based, entrepreneurial culture.</li></ul><p>
</p><p>_____________________________________________________________________________________</p>
<p></p><p><b>What to Expect When Applying</b></p>
<p>Whether this is your first time applying to Palm Tree or you&rsquo;ve connected with us before, you are welcome to use this portal to submit an updated r&eacute;sum&eacute;, cover letter, or other materials. Our recruiting team will thoughtfully incorporate your most recent information into your existing application profile. And yes&mdash;we do read cover letters. In fact,<i> the cover letter is a great place to demonstrate why you're qualified for a position, even if you do not meet all requirements.</i></p>
<p><b>Application Confirmation</b><br>
After submitting your application, you will receive an email confirming that we&rsquo;ve received your materials.</p>
<p><b>Initial Review</b><br>
Once your application has been reviewed and added to our active candidate database, you will receive a second confirmation email. Timing for this step can vary based on current hiring needs and priorities, so we appreciate your patience.</p>
<p><i>Note: If a role is marked as an &ldquo;immediate&rdquo; opening, the posting will typically outline specific timelines for each stage of the process, including a potential start date.</i></p>
<p><b>Screening</b><br>
If and when a suitable opportunity arises, a member of our hiring team will reach out to schedule an introductory conversation. The timing of this step is demand-driven and can vary.</p>
<p><b>Interviews</b><br>
Qualified candidates will be invited into a formal interview process. As with earlier stages, timing may vary depending on hiring priorities and role requirements.</p>
<p>While we do carefully review every application, we are unable to provide individual feedback to all candidates due to application volume. We value transparency and sincerely appreciate your understanding.</p>
<p><i>Important Notice</i><br>
Palm Tree is not currently engaging outside recruiters or headhunters for this search. Unsolicited r&eacute;sum&eacute; submissions from third parties may inadvertently disqualify a candidate. All interested and qualified candidates should apply directly through this portal.</p><p>
</p><p>OuEl2Oo1b2</p></div>

Associate, Data & Analytics

New York Life

<div><div><div><p>Job Description</p></div></div><div><div><div><h4 class="jobSectionHeader"><b>
Requisition ID</b></h4><div>
93907</div></div><div><h4 class="jobSectionHeader"><b>
Department</b></h4><div>
Tech Data AI Ventures</div></div><div><h4 class="jobSectionHeader"><b>
Job Function</b></h4><div>
Tech Data AI Ventures</div></div><div><h4 class="jobSectionHeader"><b>
Location</b></h4><div>
New York,New York,United States</div></div><div><h4 class="jobSectionHeader"><b>
Role Location Designation</b></h4><div>
Fully Onsite</div></div></div></div><p></p><div><div><div><div><div>
Job Requisition ID: 93907</div><p><b>
Location Designation:</b> Fully Onsite</p><div><b>
Location: </b>51 Madison Avenue, New York, New York 10010</div><div></div><div><b><br>
Salary Range: </b>$144,400.00 - $171,500.00/year</div><div></div><p><b><br>
Duties</b>: Design and implement data pipeline architecture and processes including sourcing, transformation, and extraction to enable seamless analytics integration. Utilize expert-level SQL and Python to manage, query, and transform structured data in relational databases to ensure performance, scalability, and maintainability. Automate and manage robust data pipelines and workflows using software engineering best practices including modular design, version control, and testing frameworks to ensure reliability and repeatability. Map data between source systems, data warehouses, and data marts in alignment with business requirements, ensuring data consistency across analytical workflows. Build and maintain data models that enhance efficiency, performance, and support complex business analytics and reporting needs. Collaborate with analysts, data scientists, and business stakeholders to translate business requirements into actionable, scalable data solutions. Leverage cloud platforms including AWS, along with big data frameworks like Redshift, to build and scale secure, high-performance data engineering solutions for large-scale analytics. Develop and enforce standards for development, testing and documentation, including data flow maps to support transparency and maintainability. Conduct comprehensive quality assurance processes including code reviews, test plan development, and rigorous validation to ensure data accuracy, completeness, and reliability. Provide troubleshooting support for data pipelines and workflows, focusing on system performance, data integrity, and availability to meet evolving business analytics demands. Build strong relationships with IT to work on tooling, data strategy, integrations, and deployments. Stay up to date with the latest analytics engineering trends and emerging technologies, and look for opportunities to improve the stack.</p><p></p><p><b><br>
Education &amp; Experience Requirements: </b>Master's degree in Computer Science, Computer Engineering, Business Analytics or related field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Analyst or Data Engineer supporting data science and analytics through data engineering, pipeline development, and cross-functional collaboration across data, IT, and business teams. Alternatively, Bachelor's degree in Computer Science, Computer Engineering, Business Analytics or related field (willing to accept foreign education equivalent) plus five (5) years of experience as a Data Analyst or Data Engineer supporting data science and analytics through data engineering, pipeline development, and cross-functional collaboration across data, IT, and business teams. Specific skills/other requirements - Experience must include (quantitative experience requirements not applicable to this section): Utilizing advanced-level SQL and Python for querying and managing structured data within relational database systems (RDBMS). Designing and implementing data models to enhance efficiency, performance, and fulfill business analytics requirements. Automating and orchestrating SQL workflows using established software engineering best practices including CI/CD and version control. Developing standards and practices for data and analytics engineering, focusing on scalable architectural data pipeline patterns. Utilizing big data platforms including Redshift for efficient large-scale data processing and analysis. Building and deploying scalable data engineering solutions in cloud environments including AWS using cloud-native tools and services. Conducting comprehensive quality assurance processes including code reviews, test plan development, and rigorous validation to ensure data accuracy. Hybrid &ndash; 3 days in office, 2 days remote. Eligible for Employee Referral Program. To apply, visit https://jobs.newyorklife.com/ and search job title.</p><p></p><p><b><br>
Pay Transparency</b></p><p>
Overtime eligible: Exempt</p><p>
Discretionary bonus eligible: No</p><p>
Sales bonus eligible: No</p><p>
Actual base salary will be determined based on several factors but not limited to individual&rsquo;s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.</p><p></p><div><p><b><br>
Company Overview</b></p></div><div><p>
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.</p></div><div><p>
Our diverse business portfolio creates opportunities to make a difference across industries and communities&mdash;inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you&rsquo;ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.</p></div><div><p>
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what&rsquo;s next, and your growth powers it.</p></div><p></p><p><b><br>
Our Benefits</b></p><p>
We provide a full package of benefits for employees &ndash; and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.<b> </b>Click here<b> </b>to discover more about our comprehensive benefit options or visit our NYL Benefits Site.</p><p><br>
</p><p><b>Our Commitment to Inclusion</b><br>
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life&rsquo;s leadership in this space.
</p><p>Recognized as one of <i>Fortune&rsquo;s</i> World&rsquo;s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.</p><p>
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.</p><p>
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees&rsquo; needs.</p><p></p><p><br>
Job Requisition ID: 93907</p></div></div></div></div></div>

Senior Associate, Analytics Data Engineer

Bristol Myers Squibb

<div>At RayzeBio, every day is an opportunity to ignite meaningful change. As a wholly-owned subsidiary of Bristol Myers Squibb, RayzeBio blends the nimble, pioneering spirit of an emergent biotech with the global expertise and resources of a leading innovator in oncology. Our mission is to develop transformative radiopharmaceutical therapies that offer new hope for patients living with cancer. Here, you'll join a multidisciplinary team where your ideas are valued, your expertise is amplified, and collaboration is at the heart of everything we do. From day one, expect to make an immediate impact-on our science, on our teams, and most importantly, on patients. Learn more about RayzeBio: https://careers.bms.com/rayzebio/
<br>
<br>
This high-impact role sits at the intersection of commercial forecasting and market insights, supporting RayzeBio's enterprise decision-making across its full portfolio of radiopharmaceutical assets. This person will own short- and long-term commercial forecasting across RayzeBio's portfolio - including the launch forecast for RYZ 101 in GEP-NET - while also leading market research and analytics for RayzeBio's early-stage clinical and preclinical assets. The successful candidate will be a versatile, analytically rigorous, and commercially minded individual who can translate complex data into actionable insights for senior stakeholders.<br>
<br>
Reporting to the Head of Data, Analytics and Insights, this person will serve as RayzeBio's primary owner of commercial forecasting and early-stage market insights. The forecasting remit spans the full portfolio - from near-term launch planning for RYZ 101 to long-range valuations for clinical and preclinical programs - and directly supports decision-making across Finance, Manufacturing, Business Development, Commercial, and Medical Affairs. On the insights side, this person will design and execute market research and analytics that help RayzeBio understand the potential of its emerging pipeline.<br>
<br>
<b>Job Responsibilities</b><ul><li>
Commercial Forecasting</li><li>
Own short-range and long-range commercial forecasts across RayzeBio's full portfolio of assets, including RYZ 101, early-stage clinical and preclinical programs</li><li>
Own the launch forecast for RYZ 101 in GEP-NET, including patient flow modeling, epidemiology-based sizing and assumption documentation</li><li>
Integrate insights from market research, competitive intelligence, and real-world data to inform forecast assumptions</li><li>
Partner with finance, manufacturing, business development, commercial, and others to ensure forecasts are aligned with enterprise planning processes, including LTFP cycles, supply and demand planning, and portfolio valuation updates</li><li>
Prepare and deliver clear, insight-driven forecast updates to senior leadership and cross-functional stakeholders; proactively address questions on key assumptions and scenarios</li><li>
Build consensus among cross-functional teams around underlying forecast assumptions, and clearly communicate range of outcomes and key risks/opportunities</li><li>
Develop scenario analyses to support business development evaluations, pipeline prioritization decisions, and clinical development planning</li><li>
Market Research &amp; Insights</li><li>
Apply AI to improve team execution and decision-making</li><li>
Design and execute a primary market research program to support strategic planning for early-stage clinical and preclinical assets</li><li>
Conduct claims data analyses to generate insights on patient journeys, treatment patterns, disease epidemiology, and competitive dynamics</li><li>
Leverage and analyze standard syndicated data sets (e.g., IQVIA, Symphony Health) to monitor market trends and inform commercial strategy</li><li>
Synthesize findings from competitive intelligence activities across RayzeBio's portfolio, converting external signals into actionable strategic implications for internal stakeholders</li><li>
Collaborate with Medical Affairs, Clinical Development, and Commercial to integrate scientific and commercial insights into a unified view of each asset's opportunity</li><li>
Manage market research and analytics vendors to ensure quality, compliance, and timely execution of projects</li></ul><b>
Required Qualifications</b><ul><li>
Bachelor's degree in Business, Life Sciences, Statistics, or similar</li><li>
7+ years in pharma / biotech market research, analytics and / or consulting</li><li>
Demonstrated experience building and maintaining commercial forecasts, including patient-flow models and epidemiology-based approaches</li><li>
Direct experience designing and executing primary market research studies (quantitative and qualitative)</li><li>
Working knowledge of third-party data sources, including patient-level claims data and syndicated sales data</li><li>
Strong communication and storytelling skills, with a proven ability to translate complex analyses into clear, actionable recommendations for senior stakeholders</li></ul><b>
Preferred Qualifications</b><ul><li>
Advanced degree in Business, Life Sciences, Statistics, or similar</li><li>
Oncology or rare disease experience, strong preference for prior experience in radiopharmaceuticals</li><li>
Hands-on analytics experience (SQL, R, Python)</li><li>
Prior experience supporting a commercial launch</li><li>
Familiarity with business development support, including pipeline valuations and scenario modeling</li><li>
Experience supporting both US and ex-US (worldwide) commercial forecasting</li></ul><b>
Travel Required</b><ul><li>
25% as required</li></ul>
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
<br>
<br>
<b>Compensation Overview:</b><br>
<br>
San Diego - RayzeBio - CA: $182,753 - $221,454<br>
<br>
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
<br>
<br>
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
<br>
<br>
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
<ul><li><b>Health Coverage:</b> Medical, pharmacy, dental, and vision care.</li><li>
<b>Wellbeing Support:</b> Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
</li><li><b>Financial Well-being and Protection:</b> 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
</li></ul><b>Work-life benefits include:
</b><br>
<br>
Paid Time Off
<ul><li>US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
</li><li>Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
</li></ul>Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
<br>
<br>
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.<br>
<br>
<ul><li><b>Eligibility Disclosure: </b>T he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
</li></ul><br>
<b>RayzeBio and Bristol Myers Squibb</b><br>
<br>
RayzeBio was acquired by Bristol Myers Squibb (BMS) in 2024 and is a wholly-owned subsidiary of BMS; however, RayzeBio will continue to operate as a standalone organization.<br>
<br>
<b>Supporting People with Disabilities</b><br>
<br>
BMS and RayzeBio are dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.<br>
<br>
<b>Candidate Rights</b><br>
<br>
BMS and RayzeBio will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.<br>
<br>
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
<br>
<br>
<b>Data Protection</b><br>
<br>
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection/
<br>
<br>
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.<br>
<br>
If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response.
<br>
<br>
R1601283 : Associate Director, Worldwide Forecasting and Insights</div>

Associate Director, Worldwide Forecasting and Insights

The Home Depot

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

Associate Data Scientist

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