data analytics director

National Life Group

<div><div>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.

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.

We foster a collaborative environment with opportunities for growth and encourage our associates to live our values: Do good. Be good. Make good.</div>
Please note that we do not offer visa sponsorship for this position.
<h2 class="jobSectionHeader">
Role Summary</h2>

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.

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.

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:
<h2 class="jobSectionHeader">
Essential Duties and Responsibilities</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>
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.
<h2 class="jobSectionHeader">
Minimum Qualifications</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">Key Competencies &amp; Personal Attributes:</h2>
<ul><li>Strategic Thinking: Ability to align technical capabilities with business outcomes.</li>
<li>Leadership &amp; Influence: Proven ability to lead without direct authority and influence at all levels.</li>
<li>Communication: Exceptional ability to translate complex technical concepts into business language.</li>
<li>Collaboration: Strong partnership-building skills across diverse stakeholder groups.</li>
<li>Innovation Mindset: Passion for leveraging emerging technologies to solve business problems.</li>
<li>Ethical Orientation: Deep commitment to responsible data and analytics practices.</li>
<li>Results-Oriented: Demonstrated ability to deliver measurable business impact through analytics and governance.</li></ul> 


Benefits
<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>
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.

Fortune 1000 status is based on the consolidated financial results of all National Life Group companies.

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National Life Group

1 National Life Dr

Montpelier, VT 05604</div></div>

Director, Advanced Analytics & Governance

Alcon SRL Advanced Intelligence Group

Job Title: Director of Data Science &amp; AnalyticsAbout the RoleWe are seeking a highly experienced Director of Data Science &amp; Analytics to lead enterprise-wide data strategy, AI initiatives, and advanced analytics capabilities. This is a senior leadership role where you will shape how data is used to drive business decisions, innovation, and AI-powered transformation across global operations.If you are passionate about building high-performing data teams, scaling machine learning systems, and turning complex datasets into actionable business intelligence&mdash;this role is designed for you.Why This Role is Attractive<ul><li>Strategic leadership role with global impact</li><li>Opportunity to build and lead an advanced AI &amp; data organization</li><li>Work on large-scale machine learning and predictive analytics systems</li><li>High autonomy in shaping data strategy and technology stack</li><li>Executive-level visibility and influence</li></ul>Key Responsibilities<ul><li>Define and execute enterprise data science and analytics strategy</li><li>Lead teams of data scientists, analysts, and ML engineers</li><li>Build and scale machine learning models for prediction, automation, and optimization</li><li>Develop advanced analytics frameworks for business intelligence</li><li>Oversee data architecture, governance, and quality standards</li><li>Collaborate with CTO, engineering, and product leadership teams</li><li>Translate business challenges into data-driven solutions</li><li>Drive AI adoption across business units</li><li>Present insights and strategic recommendations to executive leadership</li></ul>Required Experience &amp; Skills<ul><li>8+ years in Data Science, Analytics, or Machine Learning roles</li><li>3+ years in leadership or director-level positions</li><li>Strong experience with Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>Expertise in big data platforms (Spark, Hadoop, cloud data warehouses)</li><li>Proven experience building and deploying ML models at scale</li><li>Strong understanding of data engineering and architecture</li><li>Excellent leadership, communication, and stakeholder management skills</li><li>Experience in enterprise or global-scale organizations preferred</li></ul>What We Offer<ul><li>Competitive executive compensation package</li><li>Performance-based incentives</li><li>Opportunity to lead cutting-edge AI transformation</li><li>International project exposure</li><li>Career growth into executive leadership roles</li></ul>Call to ActionIf you're ready to lead a world-class data science organization and shape the future of AI-driven decision-making, we want to hear from you.Apply now and take the next step in your leadership journey.Pay: RO4,000.000 - RO6,500.000 per monthWork Location: In person

Director of Data Science & Analytics

University of Southern California

<div>Job ID REQ20174868 Category Keck Medicine of USC</div>
 <div>The Senior People Analytics Analyst is a senior individual contributor reporting to the Director of People Analytics and is responsible for delivering advanced workforce analytics, predictive insights, and data-driven recommendations that support strategic business and talent decisions. This role applies advanced analytical, technical, and consulting skills to transform complex people data into actionable insights for executive and operational leaders. The position does not include formal supervisory responsibility but provides technical leadership, analytical guidance, and mentoring within the People Analytics function.
Essential Duties:<ul><li>
Strategic &amp; Advanced Analytics &bull; Lead advanced workforce analytics initiatives, including trend analysis, forecasting, scenario planning, and workforce modeling &bull; Translate complex business questions into analytical approaches, data models, and actionable insights &bull; Partner with the Director of People Analytics and senior stakeholders to inform strategic workforce and talent decisions using data &bull; Identify and evaluate new data sources and analytical methods to enhance workforce analytics capabilities &bull; Provide business trend and variance analysis to support recommendations for action and strategic initiatives</li><li>
Data Management &amp; Governance &bull; Ensure accuracy, consistency, and integrity of workforce data across HR systems &bull; Define, document, and maintain standardized metric definitions, methodologies, and data sources &bull; Identify data quality issues and collaborate with HRIS, IT, and other partners to resolve root causes &bull; Oversee or contribute to the design, development, and maintenance of analytics datasets and databases &bull; Establish validation rules and conduct data quality audits to ensure accuracy, completeness, and audit readiness &bull; Manage auditable workforce data in compliance with organizational, regulatory, and reporting requirements &bull; Support enterprise data governance standards and compliance requirements</li><li>
Reporting, Dashboards &amp; Automation &bull; Design, develop, and maintain executive-level dashboards and analytical reports &bull; Write and optimize complex queries to support standardized and ad hoc analytics &bull; Automate recurring reporting and data processes to improve efficiency and scalability &bull; Develop reusable datasets and analytical frameworks to enable safe and effective self-service reporting &bull; Reduce ad hoc reporting by implementing standardized analytics solutions &bull; Design and publish high-quality dashboards that communicate trends, risks, and performance against target metrics &bull; Ensure compliance with internal and external reporting deliverables through rigorous quality checks and documentation</li><li>
Technical Expertise &bull; Serve as a technical subject matter expert for People Analytics tools, data structures, and methodologies &bull; Review analytical work for accuracy, clarity, and insight quality &bull; Provide technical guidance and informal mentoring to analysts &bull; Establish, document, and promote analytical standards and best practices within the function &bull; Provide design recommendations and enhancements to improve analytics tools, datasets, and workflows</li><li>
Communication &amp; Enablement &bull; Partner with the Director of People Analytics and stakeholders to clarify requests and shape high-impact analytical questions &bull; Present findings in clear, compelling narratives tailored to executive and operational audiences &bull; Communicate insights, risks, and recommendations with a focus on decision support &bull; Prepare analytical materials and reports for executive briefings, committees, and cross-functional meetings &bull; Enable HR and business partners through guidance on standardized analytics tools, dashboards, and data visualizations</li><li>
Professional Practice &bull; Demonstrate self-directed learning and participate in ongoing professional development to remain current in analytics methods, tools, and workforce trends &bull; Effectively prioritize work, manage multiple requests, and maintain a level-headed approach when responding to shifting priorities or unforeseen issues &bull; Demonstrate strong organizational, problem-solving, decision-making, communication, and interpersonal skills</li><li>
Performs other duties as assigned</li></ul>
Required Qualifications:<ul><li>
Req Bachelor&rsquo;s Degree in Analytics, Data Science, Statistics, Economics, Human Resources, Business, or a related field</li><li>
Req 5 years Experience in data analytics, workforce analytics, or people analytics</li><li>
Req Demonstrated experience delivering advanced analytics in a complex organizational environment</li><li>
Req Advanced proficiency in SQL (complex queries, joins, performance optimization)</li><li>
Req Experience with Python and/or R for analysis, modeling, and automation</li><li>
Req Workforce analytics modeling, scenario planning, and forecasting</li><li>
Req Business intelligence and data visualization tools such as Tableau or Power BI</li><li>
Req Experience working with HR systems and platforms (e.g., HRIS, ServiceNow)</li><li>
Req Knowledge of statistical tools, analytical techniques, and benchmarking methodologies</li></ul>
Preferred Qualifications:<ul><li>
Pref Certification - Job Relevant Data Analytics certification or advanced degree</li><li>
Pref Experience in healthcare, academic medical centers, or large unionized environments</li><li>
Pref Experience supporting executive-level decision making</li><li>
Pref Master&rsquo;s degree in quantitative or analytics-related field</li></ul>
Required Licenses/Certifications:
<ul><li>Req Fire Life Safety Training (LA City) If no card upon hire, one must be obtained within 30 days of hire and maintained by renewal before expiration date. (Required within LA City only)</li></ul> 
The annual base salary range for this position is $81,120.00 - $133,010.00. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate&rsquo;s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
<div>Job ID REQ20174868 Posted Date 05/08/2026</div></div>

People Analytics Analyst, Senior - Human Resources Admin - Full Time 8 Hour Days (Exempt) (Non-Union)

The Home Depot

<div>Position Purpose:
The Sr. Manager Decision Analytics position leads the Insights and Reporting functions for Store Operations and Services divisions. This role works closely with the Director within Decision Analytics in defining the analytical strategy and approach for projects and processes and effectively manage talent. The role works cross-functionally with business partners from across Store Operations, Services, Product and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing analytical and reporting platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for The Home Depot. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency for solutions and recommendations. 
Key Responsibilities:<ul><li>
60% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions</li><li>
25% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
5% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a Director.</li><li>
This position has 2-3 direct reports.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<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> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master's degree in Analytics, Finance, or Information Systems or related field is preferred</li><li>
Eight or more years of experience in analytics or business intelligence is preferred</li><li>
Experience in SQL, SAS, Tableau, R, python and similar tools preferred</li></ul> 
Minimum Education:<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> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
6</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
None</li></ul></div>

Senior Manager Decision Analytics - Insights & Reporting

Qiddiya Investment Company

<div>Director &ndash; Revenue Cycle Management (Healthcare Industry Exp)
General Job Information<ul><li>
Job Title: Director, Revenue Cycle Management
</li><li>Department: Finance
</li><li>Reporting Line: TBC</li><li>
Location: King Faisal Specialized Hospital / Riyadh, KSA</li><li>
Job Grade: TBC</li></ul>
Role Summary
The Revenue Cycle Director leads the enterprise-wide revenue cycle function across the Medical City ecosystem, driving revenue optimization, operational efficiency, payer strategy, and compliance. The role ensures full integration between clinical, operational, and financial processes to maximize revenue realization.
Key Responsibilities
1. Enterprise Revenue Strategy &amp; Value Optimization<ul><li>
Define and execute the enterprise-wide revenue cycle strategy across all Medical City assets
</li><li>Lead pricing strategy, service monetization, and payer mix optimization initiatives
</li><li>Identify and implement new revenue models including bundled care, subscription-based services, and value-based reimbursement
</li></ul>2. Integrated Revenue Operations Leadership<ul><li>
Establish a fully integrated, standardized revenue cycle model across hospitals, clinics, sports medicine, and wellness services
</li><li>Oversee patient access, eligibility verification, coding, billing, claims processing, collections, and denials management
</li><li>Ensure seamless coordination between clinical, administrative, and finance functions to optimize revenue capture
</li></ul>3. Financial Performance Ownership &amp; Forecasting<ul><li>
Own revenue forecasting, budgeting inputs, and financial planning related to revenue streams
</li><li>Analyze performance trends including denials, write-offs, underpayments, and collection efficiency
</li><li>Lead performance reviews and present insights to executive leadership
</li></ul>4. Payer Strategy, Contracting &amp; Market Positioning<ul><li>
Lead payer negotiations and contract structuring in collaboration with finance and leadership
</li><li>Monitor payer performance, reimbursement structures, and compliance requirements
</li><li>Develop strategies to enhance competitive positioning within the payer ecosystem
</li></ul>5. Digital Transformation &amp; Data-Driven Excellence<ul><li>
Lead implementation of advanced RCM systems, automation tools, and analytics platforms
</li><li>Develop real-time dashboards and predictive analytics capabilities
</li><li>Drive continuous innovation in revenue cycle processes
</li></ul>6. Governance, Compliance &amp; Risk Management<ul><li>
Ensure adherence to coding standards, regulatory requirements, and billing compliance
</li><li>Establish internal controls to mitigate financial and compliance risks
</li><li>Lead audit readiness and response for internal and external audits
</li></ul>7. Leadership &amp; Organizational Development<ul><li>
Build and lead a high-performing revenue cycle team
</li><li>Develop internal capabilities in coding, billing, analytics, and payer management
</li><li>Foster a culture of accountability, performance, and continuous improvement
</li></ul>Key Performance Matrix<ul><li>
Improve revenue realization and overall collection efficiency across all services
</li><li>Reduce AR days and improve cash flow performance
</li><li>Maintain denial rates below benchmarks through effective processes
</li><li>Minimize revenue leakage through strong controls and audit mechanisms
</li><li>Enhance efficiency and turnaround time across the full revenue cycle
</li></ul>Qualifications<ul><li>
Bachelor&rsquo;s in Finance, Accounting, or Healthcare Administration
</li><li>12&ndash;15+ years in healthcare RCM
</li></ul>Core Competencies<ul><li>
Revenue Strategy
</li><li>Healthcare Finance
</li><li>Payer Management
</li><li>Data Analytics
</li><li>Leadership</li></ul></div>

Director - Revenue Cycle Management (Healthcare Industry Exp) - QHC0005

Philip Morris International U.S.

<div><div>Director Data Science and Advanced Analytics &ndash; Stamford, CT</div><div> 
Be a part of a revolutionary change!</div><div> 
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.</div><div> 
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.</div><div> 
Our beautiful HQ in Stamford, CT is just steps away from the Stamford Metro-North Train Station and easily accessible from NYC.</div><div> 
Your &lsquo;day to day&rsquo;:</div><div>
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.<ul><li>
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.</li><li>
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.</li><li>
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.</li><li>
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.</li><li>
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.</li><li>
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.</li><li>
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.</li><li>
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</li></ul></div><div> 
Who we&rsquo;re looking for:</div><div>
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.<ul><li>
Legally authorized to work in the U.S.</li><li>
Commutable distance to Stamford, CT.</li><li>
10+ years of experience in analytics, data science, or decision science, with 5+ years leading teams and portfolios delivering production‑ready solutions.</li><li>
Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Economics, Operations Research, or a related field (Master&rsquo;s or PhD a plus).</li><li>
Proven track record delivering predictive analytics, ML, or AI solutions with measurable business impact.</li><li>
Strong people‑leadership capabilities, including hiring, mentoring, performance management, and team development.</li><li>
Solid hands‑on understanding of modern analytics and ML techniques, experimentation design, and measurement approaches; able to engage credibly with data scientists and engineers.</li><li>
Familiarity with modern analytics platforms and ecosystems (e.g., Databricks, Snowflake, cloud data platforms) and model operationalization practices (MLOps, CI/CD, monitoring).</li><li>
Experience establishing or maturing analytics standards, governance, and model lifecycle management practices.</li></ul></div><div> 
Annual Base Salary Range: $281,600 - $352,000</div><div> 
What we offer:<ul><li>
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!</li><li>
We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.</li><li>
Seize the freedom to define your future and ours. We&rsquo;ll empower you to take risks, experiment and explore.</li><li>
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.</li><li>
Pursue your ambitions and develop your skills with a global business &ndash; our staggering size and scale provides endless opportunities to progress.</li><li>
Take pride in delivering our promise to society: To improve the lives of millions of smokers</li></ul></div><div> 
PMI is an Equal Opportunity Employer.</div><div>
PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees.</div><div>
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.</div><div>
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.</div><div> 
#PMIUS #LI-LC1</div></div>

Director Data Science and Advanced Analytics

Starbucks

<div>Now Brewing &ndash; Data Science Managers! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Data Science Manager, you&rsquo;ll lead a team of data scientists, decision scientists, and analysts to build models and apply advanced analytics to solve complex business problems. You&rsquo;ll coach partners in technical and career development, set standards and best practices, and ensure insights and machine learning solutions are scalable, measurable, and adopted into business workflows.
As a Data Science Manager, you will&hellip;<ul><li>
Lead and develop a high-performing team by coaching, creating development plans, and building a culture of strong execution, collaboration, and continuous learning.</li><li>
Drive end-to-end data science delivery from problem framing and data preparation through modeling, performance assessment, and operationalization of insights/models.</li><li>
Set and scale best practices across coding standards, version control, documentation, data security, and analytics/engineering practices&mdash;removing roadblocks and aligning cross-functional partners.</li></ul> 


We&rsquo;d love to hear from people with:<ul><li>
BA/BS (or equivalent experience)</li><li>
5&ndash;7+ years of experience in data science, analytics, or a closely related field</li><li>
Proficiency with Python or R, SQL, and relational databases</li><li>
Working knowledge of machine learning/statistical techniques (e.g., regression, decision trees, classification, causal inference, clustering)</li><li>
Experience with cloud data/analytics solutions (e.g., Azure or AWS)</li><li>
Experience managing and coaching a team, with strong written/verbal communication skills and attention to detail</li></ul> 
Preferred qualifications<ul><li>
MS in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science) or equivalent advanced experience</li><li>
8+ years managing a small team (approximately 2&ndash;4 people) and developing technical talent</li><li>
Experience with production ML practices (shared codebases, package creation, repositories, SDLC best practices), plus distributed processing/modern platforms (e.g., Databricks or similar)</li><li>
Experience with hyperparameter tuning and ongoing model performance monitoring (measurement, drift, stability)</li></ul> 
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today! 
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.</div>

senior manager, Data Science (Nashville, TN)

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