director data analytics

Merck

<div>Job Description
This role will reside within the Digital Human Health (DHH) US Market Engagement Team. This team provides strategic thought-partnership to US commercial stakeholders through understanding brand strategy, co-creating DHH demand and associated business requirements aligned to business priorities. The US Market Engagement team quarterbacks demand fulfillment and leads the activation of DHH products and services.
The Associate Director will be responsible for developing and communicating data-driven and actionable insights that drive greater customer and market understanding to inform launch &amp; go-to market strategies and help meet commercial objectives.
Key Responsibilities:<ul><li>
Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights. Effectively communicating advanced analytics to stakeholders to inform business decisions.</li><li>
Communicate &amp; collaborate effectively with cross functional teams with competencies in market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical &amp; clinical backgrounds.</li><li>
Analyze data across disparate databases/sources (including claims/EMR Data and other sources) to develop insights that inform commercial business strategies.</li><li>
Stay current with industry trends and advancements in analytical methodologies to bring new ideas forward (including application of GenAI) that will enhance analytic capabilities of the organization.</li><li>
Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria to make meaningful improvements to the business processes and strategies.</li><li>
Derive actionable business insights from various data sources, develop clear data story, and communicate effectively to business stakeholders.</li><li>
Lead and mentor a team of data scientists and business analysts (on-shore and off-shore), providing guidance on best practices in data analytics, modeling and data visualization, through the scope of a project.</li></ul>
The individual in this role will be an independent contributor or lead a small team, supporting commercial insight and analytics needs for US marketing teams. The person will have demonstrated consistently strong leadership skills, an ability to work objectively and deal well with ambiguity and strong partnership skills. They will empower a growth mindset and inspire a culture of continual learning. This role will require interfacing and collaborating with many teams requiring strong communication skills.
The preferred candidate will have an entrepreneurial spirit, consultative and strategic mindset, experience in immunology &amp; technology (AI, agentic etc.), and a demonstrated record of producing actionable insights from analytics. The person should be able to identify the data, analytics and research needs to define, enable, and inform commercial strategies of our brand and business leaders. The selected candidate should have a good understanding of US data landscape, commercial analytics capabilities, and technology, including application of GenAI to drive effectiveness. The individual who will thrive in this role will be motivated by developing a deep appreciation of pharma secondary data sources and possess an ability to define and translate objectives and business questions into analytical problems that require advanced and scalable solutions that produce actionable insights.
Education Requirements:<ul><li>
BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or equivalent scientific/ commercial discipline.</li><li>
MBA, MS or PhD degree is preferred</li></ul>
Required Experience and Skills:<ul><li>
5+ years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry.</li><li>
Knowledge in mining patient medical claims/EMR data with a strategic mindset and proven record of being able to produce actionable business insights that drive positive commercial results.</li><li>
Self-motivated, proactive mindset, and ability to work independently.</li><li>
Story-telling and executive presence with senior leaders.</li><li>
Effective interpersonal skills, communication skills, and stakeholder management, including experience collaborating in a matrixed organization and ability to align stakeholders on data-driven decisions.</li><li>
Strong business acumen and consultative skills, with proven ability to comprehend business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics.</li><li>
Effective organizational and project management skills to work effectively across the organization and manage a team of business analysts and data scientists efficiently and effectively.</li><li>
Innovative thinking with affinity toward experimentation and appropriate risk-taking, including curiosity about how agentic AI and automation can enhance commercial analytics and insight generation.</li><li>
Awareness of the opportunities, limitations, and responsible use of AI (including agentic AI) in a regulated environment (e.g., data privacy, validation of AI-generated outputs).</li><li>
Prior hands-on experience working with healthcare data especially EMR/EHR, Claims Data (i.e. IQVIA APLD) and various data offerings.</li><li>
Ability to develop efficient programming code and software assets that provide advanced analytical functionality.</li><li>
Proven data science experience leveraging advanced statistical methods, Machine Learning/ Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.</li><li>
Knowledge of both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQL etc.</li><li>
Understands the business context, challenge, limitation, constraints and goals to effectively match the capability of the statistical and mathematical and M/L approaches to the business, scientific and operational challenge</li><li>
Travel may be required &lt;20%.</li></ul>
Preferred Experience and Skills:<ul><li>
Domain knowledge in immunology, specifically as it relates to data analytics.</li><li>
MBA, MS or PhD degree is a plus.</li></ul>
Required Skills:
Brand Strategy, Business Analysis, Business Processes, Collaborative Communications, Commercial Analytics, Commercial Strategies, Communication, Data Science, Demand Management, Immunoassays, Immunology, Immunotherapy, Innovation, Leadership, Marketing Data Analytics, Market Research, Natural Language Processing (NLP), Public Health, Python (Programming Language), Requirements Management, Sourcing and Procurement, Stakeholder Relationship Management, Strategic Planning
Preferred Skills: 
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights
EEOC GINA Supplement
We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another&rsquo;s thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts
U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as &ldquo;remote&rdquo;.
The salary range for this role is
$156,900.00 - $247,000.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee&rsquo;s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.
The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance
Search Firm Representatives Please Read Carefully 
Merck &amp; Co., Inc., Rahway, NJ, USA, also known as Merck Sharp &amp; Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
No relocation
VISA Sponsorship:
No
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
03/9/2026<ul><li>A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. 
</li></ul> 
Requisition ID:R387139</div>

Assoc. Dir , Business Insights & Analytics and Data Science

Risepoint

<div>Risepoint is an education technology company that provides world-class support and trusted expertise to more than 100 universities and colleges. We primarily work with regional universities, helping them develop and grow their high-ROI, workforce-focused online degree programs in critical areas such as nursing, teaching, business, and public service. Risepoint is dedicated to increasing access to affordable education so that more students, especially working adults, can improve their careers and meet employer and community needs.
The Impact You Will Make
You will lead the data science behind our Student Journey Platform &mdash; a system designed to know what a student needs before they ask, intervene at the moments that matter most, and personalize the experience across every university we serve. This isn't about reactive tooling. It's about building the intelligence layer that orchestrates real-time decisions across the full arc of a student's journey &mdash; from first inquiry through completion &mdash; and doing it at a scale that no single institution could achieve alone.
<h2 class="jobSectionHeader">How You Will Bring Our Mission to Life
</h2>At Risepoint, data science isn't a reporting function &mdash; it's the engine powering predictive AI voice and text experiences that meet students where they are and guide them where they need to go. As Director of Data Science, you'll own the models, evaluation systems, and analytical frameworks that make those experiences smarter, more responsive, and more human over time. Your work won't live in dashboards. It will show up in conversations, decisions, and outcomes for hundreds of thousands of students.
<h2 class="jobSectionHeader">What You Will Do
</h2>You'll lead a multidisciplinary team across three interrelated domains:
Machine learning models &amp; Lifecycle &mdash; Build cutting edge machine learning models and own the end-to-end lifecycle of production ML models powering predictive and conversational AI experiences. Drive next best action, propensity, and intervention models from discovery through deployment, with governance and monitoring frameworks that ensure they stay accurate and reliable in the wild.
Multimodal Intelligence (Voice, Text &amp; Generative AI) &mdash; Architect frameworks to extract high-signal insights from voice, text, and behavioral interaction data &mdash; spanning classical NLP, large language models, and generative AI techniques &mdash; to surface what structured data alone will never reveal. Integrate disparate signals to build a unified, real-time view of student intent and experience.
Tech Product Analytics &amp; Experimentation &mdash; Drive the experimentation roadmap (A/B testing, feature rollouts, behavioral studies) with statistical rigor to ensure AI-powered product decisions are backed by hard data. Define evaluation standards for generative and predictive features, and close the loop between model outputs and product requirements.
Technical Leadership &mdash; Scale a multidisciplinary team by fostering a culture of ownership, analytical rigor, and rapid iteration. Partner with Product and Engineering to define technical success metrics that translate directly into business ROI. Distill complex technical outcomes into compelling narratives that drive alignment and action at the leadership level.
<h2 class="jobSectionHeader">What Success Looks Like
</h2><ul><li>Predictive Precision &mdash; Models that anticipate student needs, surface the right intervention at the right moment, and improve with every interaction
</li><li>Voice &amp; Text as a Strategic Asset &mdash; Conversational data is no longer raw signal &mdash; it's a structured, queryable source of truth that drives product and operational decisions
</li><li>Rigorous AI Evaluation &mdash; Every generative and predictive feature ships with clear evaluation criteria, performance baselines, and monitoring in place
</li><li>Data-Backed Outcomes &mdash; A measurable link between AI-driven interactions and improved student outcomes, including reduced drop-off at critical journey moments and higher completion rates
</li><li>Team Excellence &mdash; A growing, engaged team that ships consequential work with increasing speed and independence
</li></ul><h2 class="jobSectionHeader">How Impact Will Be Measured
</h2><ul><li>A prioritized roadmap of ML and analytics initiatives with clear owners, success metrics, and decision timelines reviewed on a recurring cadence
</li><li>An AI evaluation and monitoring program for key AI-enabled features, including scorecards, decision thresholds, and alerting for performance regressions
</li><li>A standardized conversational taxonomy and recurring reporting across voice and text interactions that surfaces top drivers, trend movement, and emerging issues
</li><li>Measurable improvement in at least two agreed student or operational outcome measures through data science-led changes
</li></ul><h2 class="jobSectionHeader">What You'll Bring to the Team
</h2><ul><li>A builder's mindset &mdash; you create structure from ambiguity and rally people around shared goals
</li><li>Deep intuition for how predictive and generative AI systems behave in production &mdash; and what it takes to keep them performing
</li><li>The ability to move fluidly between strategic thinking and hands-on technical work without losing altitude
</li><li>A track record of translating complex models and analyses into narratives that drive executive action
</li><li>Deep credibility with engineers, product managers, and analysts alike
</li><li>A genuine investment in developing the people around you
</li></ul><h2 class="jobSectionHeader">Experience That Matters Most
</h2><ul><li>10+ years in data science, machine learning, or analytics roles
</li><li>5+ years leading multidisciplinary data science or analytics teams
</li><li>Hands-on experience building or evaluating predictive AI systems in voice or text-based products
</li><li>Production machine learning experience &mdash; model building, launch, governance, monitoring, and lifecycle management
</li><li>Strong command of Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)
</li><li>Experience designing evaluation frameworks for LLM or generative AI features
</li><li>Proven experience designing and analyzing experiments (A/B testing, feature rollouts, behavioral studies)
</li><li>Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field &mdash; or equivalent experience
</li></ul><h2 class="jobSectionHeader">Experience That's Great to Have
</h2><ul><li>Familiarity with generative AI applications in a product or customer experience context or agentic workflow design
</li><li>Experience with next-best-action, recommendation, or real-time intervention modeling
</li><li>Familiarity with cloud data platforms and distributed data technologies (Spark, Databricks, etc.)
</li><li>Background in EdTech, higher education, or other mission-driven industries
</li><li>Experience partnering with GTM or operations teams, not just product and engineering
</li></ul>Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.</div>

Director, Data Science

LatentView Analytics

<div>
 
 LatentView Analytics is one of the world&rsquo;s largest and fastest-growing digital analytics firms.
 
 
 We help companies drive digital transformation by helping them combine digital and traditional data to gain a competitive advantage. LatentView provides a 360-degree view of the digital consumer, enabling companies to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, and optimize investment decisions.
 
 
 
 
 
 Job title: Associate
 
 
 Type: Full time
 
 
 No. of positions available: Multiple
 
 
 
 
 
 At LatentView, we would expect you to have:
 
 
 
 
 
 
 Job description
 
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Answer ad-hoc business questions through data analysis.
 </li>
 <li>
 Proactively explore data to identify pain points and opportunities
 </li>
 <li>
 Apply principles of mathematics, statistics, econometrics, computer science and operations research to solve client&rsquo;s business problems
 </li>
 <li>
 Participate in analytical modeling, solution design, data sampling, variable design, segmentation analysis, and development of statistical models using R, SAS or Python
 </li>
 <li>
 Formulate predictive models for various business problems, perform validation and testing of models to ensure adequacy and refine models as necessary
 </li>
 <li>
 Formulate technical solutions and analytical frameworks for different projects
 </li>
 <li>
 Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
 </li>
 <li>
 Collaborate with clients and other LatentView stakeholders to effectively integrate and communicate analysis findings
 </li>
 <li>
 Evaluate emerging datasets and technologies that may contribute to our analytical offerings
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 :
 
 
 
 
 <ul>
 <li>
 Bachelors/ master&rsquo;s degree or the equivalent, in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 Relevant experience in SQL, Excel and PowerPoint.
 </li>
 <li>
 Comprehensive problem solving and data analysis skills.
 </li>
 <li>
 Strong business acumen, ability to grasp complex business concepts and identify pain points/opportunities thru data and insights
 </li>
 <li>
 Executive presence, strong communication and storytelling skills.
 </li>
 <li>
 High curiosity to identify business patterns through data
 </li>
 <li>
 Strong competency in SQL, Excel and PowerPoint,
 </li>
 <li>
 Experience in Power BI desired
 </li>
 <li>
 Experience in working with data engineers to design reports/dashboards desired
 </li>
 </ul>
 
 
 
 
 
 Note: Travel and relocation possible to unanticipated client locations throughout the US.
 
 
 
 
 
 
 EEO Statement
 
 
 
 
 
 
 &ldquo;At LatentView Analytics LLC, we value a diverse, inclusive workforce and we provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual&rsquo;s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at usrec@latentview.com. LatentView Analytics LLC will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.&rdquo;
 
 
 
 
</div>

Associate Data Analyst

Proservartner

Data &amp; Analytics Associates (2 roles)About Proservartner Proservartner is a leading management consulting firm specialising in strategic advisory, market assessments, and transformation projects across FMCG, beverage, manufacturing, and financial sectors. We partner with clients to deliver actionable insights, investment-grade analyses, and implementation-ready strategies. We are currently staffing a 14&ndash;16 week consulting engagement in Saudi Arabia focused on the water-products market and are seeking experienced professionals with FMCG, beverage, and financial modelling expertise.Duration: 12 weeks Rate: USD 280&ndash;360/dayRole Overview: Data &amp; Analytics Associates will support market data collection, competitor tracking, and model inputs to inform strategic and financial decisions.Key Responsibilities:<ul><li>Build market databases and dashboards.</li></ul>Job Type: Full-timePay: From ﷼1,050.00 per dayExperience:<ul><li>FMCG Industry: 1 year (Preferred)</li></ul>

Data & Analytics Associates

COLLETTE TRAVEL SERVICE INC

<div>Collette is seeking a Vice President, Data &amp; Analytics to join our Team. This is a hybrid position based at our headquarters in Pawtucket, RI.
About Collette: Let Us Show You the World
There has never been a better time to be in the travel industry. See the world, connect with others, and experience the immersive benefits of one of the trendiest industries when you join the Collette team! As the longest-running tour operator in North America, our family-owned business leads the industry in innovation and expertise. Collette&rsquo;s passionate team works hard to fulfill travel dreams and is always looking for talent that will help to shape the company&rsquo;s future. Being part of the Collette team means having a willingness to grow, a desire to learn and ask questions, and a zest for seeing the world. From giving back to local communities to creating incredible experiences for a world of travelers and being part of a value-oriented team that cares for one another &ndash; Collette is all about the people. So, what are you waiting for? Your journey starts here.
Job Summary:
The Vice President of Data &amp; Analytics will lead Collette&rsquo;s enterprise wide data, analytics, and business intelligence strategy, enabling data driven decision making entire organization. This role combines strategic leadership, modern data platform ownership, and business partnership to transform data into trusted, scalable, and actionable insights that drive growth, efficiency, and exceptional traveler experiences.
This leader will own the end to end analytics ecosystem&mdash;from data architecture and governance to self service reporting and advanced analytics&mdash;while building and mentoring a high performing team.
Primary Functions:
Enterprise Data Strategy &amp; Leadership<ul><li>
Define and execute the enterprise data and analytics vision aligned with business strategy and executive priorities.</li><li>
Serve as a trusted advisor to the business leaders, translating complex data into clear, actionable insights.</li><li>
Embed data‑driven decision‑making across the organization and elevate analytics as a core business capability.</li></ul>
Data Architecture, Platforms &amp; Governance<ul><li>
Own the design, implementation, and evolution of a modern, cloud‑based data platform.</li><li>
Lead integration of data from ERP, CRM, web, and other operational systems into a centralized analytics environment.</li><li>
Establish and enforce data governance, quality standards, master data management, and stewardship models.</li><li>
Partner closely with Technology, Security, and Compliance to ensure platform reliability, privacy, and scalability.</li></ul>
Analytics, BI &amp; Self‑Service Enablement<ul><li>
Deliver executive‑level KPIs and dashboards across Sales, Marketing, Finance, Call Center, and Operations.</li><li>
Build standardized semantic layers and self‑service analytics capabilities to accelerate insight generation and reduce manual reporting.</li><li>
Champion data literacy initiatives that empower business users to confidently interpret and act on data.</li></ul>
Advanced Analytics &amp; AI<ul><li>
Lead Predictive/AI analytics initiatives to improve customer engagement, conversion, retention, and lifetime value.</li><li>
Translate operational and customer data into insights that drive efficiency, service quality, and profitability.</li></ul>
Team &amp; Vendor Management<ul><li>
Build, lead, and mentor a high‑performing analytics organization spanning data engineering, BI, and advanced analytics.</li><li>
Drive hiring, development, and succession planning while fostering a culture of innovation and accountability.</li><li>
Manage analytics vendors and budgets, ensuring strong ROI and alignment with enterprise standards.</li></ul>
Knowledge &amp; Skills:<ul><li>
Bachelor&rsquo;s degree required, Master&rsquo;s degree preferred.</li><li>
15+ years of progressive experience in Data, Analytics, and Business Intelligence, including senior leadership roles.</li><li>
Proven success leading enterprise analytics transformations in complex, multi‑system environments.</li><li>
Demonstrated experience partnering with executive leadership across the organization.</li><li>
Deep expertise in modern data platforms and analytics tools (e.g., cloud data warehouses, analytics engineering, BI platforms).</li><li>
Strong understanding of data modeling, data warehousing, ELT/ETL, and analytics best practices.</li><li>
Hands‑on experience with KPI development, customer analytics, segmentation, and predictive modeling.</li><li>
Exceptional executive communication and storytelling skills.</li><li>
Ability to influence across functions and levels without direct authority.</li><li>
Proven people leader with experience managing distributed and cross‑functional teams.</li></ul>
Compensation &amp; Benefits
We believe in taking care of our team&mdash;inside and outside of work.
The base salary range for this position is $180,000 - $230,000.
What We Offer:<ul><li>
Health &amp; Wellness: Medical, Dental, and Vision coverage&mdash;plus a Peloton One Membership to keep you moving</li><li>
Time Off: Generous PTO, paid holidays, and your birthday!</li><li>
Volunteer Time: Paid hours to give back to causes you care about</li><li>
Financial Security: 401(k) with company match</li><li>
Family Support: Paid parental leave, paid bereavement leave and access to our Employee Assistance Program</li><li>
Career Growth: Tuition reimbursement to help you level up your skills</li><li>
Exclusive travel discounts, incentives and more!</li></ul></div>

Vice President, Data & Analytics

American College of Cardiology (ACC)

<div>The data scientist plays a key role in advancing the analytical engine behind the National Cardiovascular Data Registries (NCDR). This role drives the development of clinical datasets, powers quality and performance measure reporting, and strengthens ACC&rsquo;s registry science through advanced analytics, SQL‑based measure implementation, and emerging AI‑driven solutions. You&rsquo;ll help shape smarter, more efficient processes by validating and optimizing registry data and models, ensuring accuracy and high‑quality outputs that directly support clinicians and participants nationwide. Success in this role calls for strong analytical thinking, problem‑solving skills, and the ability to stay organized in a dynamic, matrixed environment while collaborating closely with the NCDR Data Science and Analytics team.</div>
 <div><div>At the American College of Cardiology, we bring our hearts to work.
We are a 500-person organization dedicated and committed to our mission to transform cardiovascular care and improve heart health for all for more than 75 years. When you join our team, you become part of a culture that envisions a world where science, innovation and knowledge optimize cardiovascular care and outcomes.
Every day, we are committed to supporting our more than 60,000 members and their patients around the globe and in doing so, ensure our staff have a positive environment of teamwork, collaboration, professionalism and excellence. To learn more about why ACC has been recognized as a great place to work, please visit our site, www.acc.org/jobs .
What We Offer:
 
ACC values all members of our College family, including ACC staff. As the foundation of the organization, ACC staff enjoy world-class benefits and a culture of work-life balance. Our benefit offerings include insurance (medical, dental, vision, basic life, and short- and long-term disability, and supplemental options), generous paid time off (pre-loaded vacation and sick, 12 holidays and an organizational shut-down during the last week of the year, parental leave, 2 community service days, and half-day summer Fridays), tuition assistance and a very competitive 10% retirement contribution after a year of service, and much more! You can visit our careers site for an overview of our full offerings. Please note that these offerings may change at any time.
ACC believes in fair and equitable pay. Multiple factors are taken into consideration when we determine what salary to offer a selected candidate. These factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, as well as internal equity, market, and business considerations. Our salary ranges differ based on the cost of labor in the local market where the job will be performed.
 
The salary ranges for will vary based on the local labor market; ACC&rsquo;s Recruitment Team will be able to provide more information to candidates during initial discussions.
EEOC:
 
ACC is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. All employment is decided on the basis of qualifications, merit and business need. Equal Opportunity Employer, including individuals with disabilities and veterans. ACC is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact Katie Sarreal, HR Business Partner at ksarreal@acc.org or (202)375-6351.</div></div>
 <div>Required:
<ul><li>Masters with 3+ years relevant experience or Bachelors with 4+ years relevant experience training in data management, data quality, health care, computer science, or a related field.
</li><li>Hands-on experience building, validating and deploying predictive models (including both statistical and machine learning models).
</li><li>Strong experience using data analytics and/or visualization software and tools such as PowerBI, SQL, SAS, Python, or similar products.
</li><li>Excellent problem solving and analytical skills.
</li><li>Demonstrated AI literacy, including understanding of generative AI, RAG, and staff‑facing productivity AI tools.
</li><li>Strong project management skills with the ability to manage multiple tasks simultaneously and set priorities under strict deadlines.
</li><li>Demonstrated ability to embrace changing organizational needs, shifting priorities, and evolving responsibilities.
</li><li>Client service orientation and interpersonal skills with the ability to build effective relationships with diverse constituents and work across teams, departments, and functions.
</li><li>Ability to self-initiate, advance work with minimal direction, and follow through on projects.
</li><li>Advanced working knowledge of Microsoft Office Products (Word, Excel, PowerPoint), familiarity with SharePoint and version control software (e.g., Git). 
</li></ul>Desired:
<ul><li>Familiarity with protected health information (PHI) data and privacy requirements.
</li><li>Experience developing and working with clinical measures and/or clinical informatics.
</li><li>Advanced degree and/or additional experience working with health data.
</li><li>Experience in coordinating cross-functional teams to implement AI solutions in business process and operations.
</li><li>Knowledge of natural language processing (NLP) or large language modeling (LLM) techniques and healthcare AI applications.
</li><li>Understanding of ethical AI principles and regulatory compliance in healthcare.</li></ul></div>
 <div>Dataset Development Functions:
<ul><li>Perform frequency and other possible analysis, e.g., descriptive statistical, on data element submission rates and clinical metric reporting application to inform dataset development by internal staff and volunteer workgroups.
</li><li>Conduct assessments (e.g. rule-based, correlation analysis) to identify redundant data elements and recommend reductions as well as standardization across datasets.
</li><li>Manage registry data elements for automated upgrades.
</li><li>Develop ongoing monitoring views into data submission rates to inform threshold submission requirements, shifts in clinical characteristics at the facility and patient level, and other dataset-based analysis, such as for clinical research purposes, as well as potential correlations within data element submission completeness to complexity of patient populations to support customer coding.
</li><li>Perform analysis to support clinical measurement staff and volunteer workgroups and Steering committees develop and report meaningful measures as well as identify candidate measures to be sunset due to low reporting frequencies associated with low data element capture completeness provided in submissions.
</li><li>Collaborate with clinical measure development and IT teams to propose data visualization approaches to increase ease of interpretability of measures for customers.
</li>Develop ongoing monitoring of clinical measures reported across registry dashboards to identify to extent reasonable variations in outcomes. 
<li>
</li></ul>Measure Development Functions:
<ul><li>Perform analysis to support clinical measurement staff and volunteer workgroups and Steering committees develop and report meaningful measures as well as identify candidate measures to be sunset due to low reporting frequencies associated with low data element capture completeness provided in submissions.
</li><li>Collaborate with clinical measure development and IT teams to propose data visualization approaches to increase ease of interpretability of measures for customers.
</li>Develop ongoing monitoring of clinical measures reported across registry dashboards to identify to extent reasonable variations in outcomes. 
<li>
</li></ul>Clinical Informatics Function:
<ul><li>Collaborate with staff and volunteer committee and work group members in identify opportunities to align with external structured terminologies and/or apply large language modeling (LLM) approaches to ease effort associated with data capture by customers for submission to NCDR.
</li><li>Assist on projects as identified, such as to explore novel mechanisms to import clinical data to expand view of patient care and outcomes including applications to clinical measurement reporting; or to support efficiencies in data export out of electronic medical record systems or other data environments, e.g., lakes, for customers or third-parties, e.g., certified software vendors. 
</li></ul>General:
<ul><li>Learn the NCDR Common Data Model (CDM) structure to be able to interpret code and conduct quality-checks for measures and models.
</li><li>Monitor and analyze AI industry trends and identify opportunities to apply AI techniques to improve internal efficiency assess customer adoption of AI in registry contexts.
</li><li>Use analytic approaches through tools such as SQL and Excel to identify opportunities for process streamlining.
</li><li>Assist with the interpretation, responses, and presentation of results to internal and external stakeholders such as the CMS Consensus Based Entity, regulatory and federal agencies and other health authorities for all measure types (process, outcome, risk-modeled, composite, etc.).
</li><li>Develop and maintain strong working relationships with internal and external stakeholders to facilitate collaboration and drive execution of program deliverables.
</li><li>Create and maintain standard operating procedures and technical documentation.</li></ul></div>

Associate, NCDR Data Scientist

Eli Lilly

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Transform Data into Supply Chain Excellence
We're seeking a Supply Chain Analyst who combines analytical expertise with business acumen to drive data-informed decision-making across our global supply chain operations.
What You'll Do
You'll be at the intersection of data science, operations research, and supply chain strategy. Starting with transactional data from our enterprise systems, you'll build analytics solutions that help our teams identify trends, optimize operations, and improve business outcomes. This isn't just about reporting what happened&mdash;it's about using advanced analytical techniques to predict what will happen and prescribe what should happen.
You'll partner with stakeholders across Manufacturing, Quality, Planning, and Distribution to understand their challenges, then design and deploy analytics solutions using platforms like Power BI, SAP. Whether you're optimizing inventory levels, improving production scheduling, or analyzing distribution networks, you'll apply quantitative methods to deliver measurable value.
What Sets This Role Apart<ul><li>
End-to-End Ownership: You'll be involved in the complete lifecycle&mdash;from identifying business needs through solution design, deployment, and adoption</li><li>
Diverse Impact: Your work will influence decisions across all levels of the organization, from frontline planners to executive leadership</li><li>
Technology Innovation: You'll explore emerging analytics capabilities and shape how we leverage new tools and methodologies</li><li>
Global Perspective: You'll gain exposure to pharmaceutical supply chains spanning multiple continents and regulatory environments</li></ul>
What You Bring
Required:<ul><li>
Bachelor's degree in Supply Chain, Data Science, Operations Research, Industrial Engineering, or related quantitative field.</li><li>
5+ years in manufacturing/supply chain roles with hands-on understanding of material flows and supply chain processes.</li><li>
Strong technical skills in Power BI, SAP, Excel, and SQL.</li><li>
Experience applying analytical methods to solve business problems.</li></ul>
Highly Valued:<ul><li>
Pharmaceutical or regulated industry background</li><li>
Operations research techniques: optimization, simulation, statistical modeling, forecasting</li><li>
Programming skills (Python, R) for advanced analytics augmented with AI</li><li>
Lean Six Sigma training and project experience</li><li>
Advanced degree in quantitative field</li></ul>
Who Thrives Here
You're someone who gets energized by turning messy data into clear insights. You're comfortable with ambiguity and can balance the rigor of quantitative analysis with the realities of business constraints. You build relationships easily, communicate complex ideas simply, and influence others through the power of data-driven storytelling.
You're technically capable but business-minded. You understand that the best analytical solution is the one that actually gets used and drives action. You're curious about emerging technologies but pragmatic about implementation. And you're committed to continuous improvement&mdash;both in your own skills and in the processes you support.
Why Join Us
This role offers a unique vantage point on pharmaceutical supply chains, blending process knowledge, stakeholder engagement, and advanced analytics. You'll develop expertise that's increasingly valuable as organizations continue their digital transformation journeys. You'll work with passionate colleagues who are committed to getting medicines to patients reliably and efficiently.
Additional Information:
<ul><li>This is an onsite role based in Indianapolis.</li><li>
Travel expectation up to 10%, domestic and international.</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$127,500 - $204,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Associate Director - Supply Chain Analytics

Search 10000+ Director data analytics jobs near you this March. New roles added regularly across leading industries. Apply today.