data sciences director

AAA Life Insurance Company

<div>Overview:
<p><b>
Why AAA Life</b></p><p></p><p><br>
AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them &ndash; and their families &ndash; when we&rsquo;re needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.</p><p></p><p><b><br>
How You&rsquo;ll Work</b></p><p>
Work Solution: Hybrid (Tuesday- Thursday) or Remote (USA)</p><p>
Relocation Eligibility: Available</p><div></div><div><b><br>
General Purpose</b></div><div>
The Director, Head of Data provides the vision and leadership for how AAA Life manages and uses data across the company. This role is responsible for designing, building, and maintaining a modern data environment that delivers accurate, reliable, and accessible information to support decision making, operational performance, and long-term growth throughout the enterprise.<br>
<br>
The Director oversees data architecture, engineering, governance, and analytics enablement and ensures that data is organized, safeguarded, and used responsibly across all business units. This includes establishing clear ownership, strong quality standards, and consistent practices that continually build trust in the company&rsquo;s data.<br>
<br>
The role works closely with technology, actuarial, finance, distribution, product, and member experience teams to understand needs, set priorities, and ensure data consumers have the right information at the right time. This includes providing the insights and data foundations that help agents succeed in the field and serve members with clarity and confidence.<br>
<br>
The Director builds and runs a high-performing team and creates the structure needed to scale data capabilities as the company modernizes. This technically-adept leader sets direction, drives alignment, and ensures that data becomes a managed asset that supports member value, operational efficiency, agent success, and future business opportunities.</div>
Responsibilities:
<div><b>
Position Responsibilities</b></div><div></div><div><b><br>
Data Strategy and Architecture</b></div><ul><li>
Define and maintain the enterprise data strategy aligned to the company&rsquo;s North Star architecture</li></ul><br>
<div></div><ul><li>
Design and evolve the data platform including semantic layer, operational data layer, and integration patterns.</li><li>
Establish domain-aligned data products with clear ownership, quality expectations, and SLAs.</li><li>
Partner with enterprise architecture to ensure data decisions align with platform, cloud, and integration strategies.</li></ul><div></div><div><b><br>
Data Engineering and Delivery</b></div><ul><li>
Oversee delivery of data pipelines, ingestion patterns, event streaming, and operational data flows.</li><li>
Lead teams in building Member 360, Actuarial Valuation data, financial reporting data, policy and claims domains, and other priority data products.</li><li>
Ensure timely delivery of strategic data initiatives including CDC enablement, event modeling, and read models.</li><li>
Implement reliable processes for deployment, monitoring, observability, and data quality measurement.</li></ul><div></div><div><b><br>
Data Governance and Stewardship</b></div><ul><li>
Stand up and chair the Data Council with business and technology leaders.</li><li>
Define data policies, lineage, cataloging, access controls, retention, and metadata standards.</li><li>
Develop a clear data ownership model across domains with accountability for quality and adoption.</li><li>
Establish a data quality framework with automated checks, issue management, and scorecards.</li></ul><div></div><div><b><br>
Leadership and Team Development</b></div><ul><li>
Build and lead multi-disciplinary data squads including engineering, modeling, analytics enablement, and governance.</li><li>
Develop a high-performance, product-oriented team structure aligned with domains such as Policy, Claims, Finance, Member Experience, and Agent Experience.</li><li>
Partner with AAAL Academy on talent development, training paths, and skill assessments.</li><li>
Foster a culture of accountability, transparency, curiosity, collaboration, and continuous improvement.</li></ul><div></div><div><b><br>
Business Partnership and Strategy</b></div><ul><li>
Work closely with Finance, Actuarial, Product, Member Services, Distribution, and Digital Experience to deliver data that drives business outcomes.</li><li>
Translate business needs into data priorities with clear value, sequencing, and measurable impact.</li><li>
Communicate data insights, progress, risks, and decisions to senior leadership.</li><li>
Support modernization efforts including Life+ decommission, platform migrations, experience rebuilds, and operational optimization.</li></ul>
Qualifications:
<div><b>
Education/</b><b>Experience:</b></div><div></div><div><b><br>
Required:</b></div><ul><li>
10 years in data engineering, data architecture, or data analytics leadership roles.</li><li>
Experience leading data programs in a regulated industry such as life insurance, financial services, or healthcare.</li><li>
Demonstrated success building modern data platforms in cloud environments.</li><li>
Strong understanding and demonstrated experience building trusted data governance, metadata management, lineage, and data quality principles.</li><li>
Experience leading technology teams through transformation and modernization.</li><li>
Ability to communicate clearly with, drive alignment with, and influence senior leaders.</li><li>
Strong communication skills with the ability to present complex concepts concisely.</li></ul><div></div><div><b><br>
Preferred:</b></div><ul><li>
Experience with Snowflake, DBT, event streaming architectures, API integration patterns, and semantic modeling.</li><li>
Experience building domain-based and business-empowered data products.</li><li>
Familiarity with all tiers of medallion data architectures, data lake, data warehouse, and data lakehouse concepts.</li><li>
Familiarity with Member 360 concepts, actuarial data needs, and operational analytics.</li></ul><div></div><div><b><br>
Essential Job Functions</b></div><div></div><div><br>
While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel and talk or hear. Specific vision abilities required by this job include close vision, distance vision, color vision, depth perception, and ability to adjust focus.</div><div></div><div><br>
This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodations will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.</div><div></div><div><br>
#Li-Remote</div></div>

Director, Head of Data

Rewaa

<div>
 <p>
  <span>
   Rewaa is on a mission to revolutionise retail! Our cutting-edge SaaS platform empowers retailers to move and grow faster. We provide innovative solutions for point-of-sale, inventory management, omnichannel integrations, tax and accounting, and reporting, all delivered on a single screen with our lightning-fast, robust hardware. With over 10,000+ customers and an ambitious trajectory toward global expansion, there's never been a better time to join Rewaa!
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   We are seeking an exceptional Data Engineering Director to lead Rewaa's data organization through a transformative phase of growth and innovation. This is not a typical data leadership role; we need a true technical leader who can architect enterprise-scale systems, help to drive AI/ML innovation, and deliver products that fundamentally change how we operate. The ideal candidate is a proven technical leader who can architect enterprise-grade data systems from the ground up, translate complex analytics into revenue-driving products, work hands-on with teams to solve the most complicated problems, and inspire excellence in others.
  </span>
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   Key Accountabilities
  </strong>
  <ul>
   <li>
    Define the data product vision, strategy, and long-term roadmap aligned with business objectives, anticipating needs 2-3 years ahead.&nbsp;
   </li>
   <li>
    Own end-to-end data architecture and pipelines, ensuring scalability, reliability, and maintainability at enterprise scale.&nbsp;
   </li>
   <li>
    Design and oversee scalable, fault-tolerant data infrastructure, including distributed storage solutions, streaming architectures, and cloud infrastructure (AWS/GCP).&nbsp;
   </li>
   <li>
    Establish and enforce best practices, including CI/CD pipelines, containerization (Docker/Kubernetes), infrastructure-as-code, automated testing, and data observability.&nbsp;
   </li>
   <li>
    Evaluate and improve the technical quality of solutions, conducting architecture reviews and providing actionable guidance to teams.&nbsp;
   </li>
   <li>
    Assess emerging technologies (real-time streaming, LLMs, vector databases, etc.) and make strategic build-vs-buy decisions.&nbsp;
   </li>
   <li>
    Drive data governance, security, and compliance frameworks, ensuring data privacy and regulatory adherence.&nbsp;
   </li>
   <li>
    Provide expert code reviews, architectural guidance, and mentor engineers on advanced topics (distributed systems, ML engineering, optimization).&nbsp;
   </li>
   <li>
    Debug and resolve critical production issues, and identify bottlenecks and inefficiencies in technical systems and team workflows, implementing automation and process improvements.&nbsp;
   </li>
   <li>
    Build data quality frameworks, including automated validation, anomaly detection, and lineage tracking.&nbsp;
   </li>
   <li>
    Establish incident response processes and conduct blameless post-mortems to drive continuous improvement
    <br/>
   </li>
  </ul>
  <p>
   <br/>
  </p>
  <strong>
   Requirements and Qualifications
  </strong>
  <ul>
   <li>
    10+ years in data engineering, or data-focused product leadership, with 4+ years leading teams in senior/director+ roles at high-growth companies.&nbsp;
   </li>
   <li>
    Data infrastructure and architecture (data warehousing, data lakes, lakehouses, streaming architectures like Kafka/Kinesis).&nbsp;
   </li>
   <li>
    Advanced data modeling (dimensional, Data Vault, graph, event-driven).&nbsp;
   </li>
   <li>
    Develop and manage ETL/ELT pipelines and orchestration tools&nbsp;
   </li>
   <li>
    Deploy and monitor ML and AI models in production at scale.&nbsp;
   </li>
   <li>
    Optimize cloud platforms (AWS or GCP), including data services, serverless, and cost efficiency.
   </li>
   <li>
    Write and optimize SQL, programming languages for data engineering, and distributed computing (Spark).&nbsp;
   </li>
   <li>
    Implement modern data stack tools (Databricks, Fivetran, Airbyte, etc.).&nbsp;
   </li>
   <li>
    Hands-on experience with CI/CD, Docker/Kubernetes, infrastructure-as-code, and DevOps/DataOps practices&nbsp;
   </li>
   <li>
    Proven track record of building data products that delivered &gt;$10M in value or transformed business operations
    <br/>
   </li>
  </ul>
  <p>
   <br/>
  </p>
  <strong>
   Compensation and Benefits
  </strong>
  <ul>
   <li>
    Competitive monthly salary.&nbsp;
   </li>
   <li>
    Stock Option Plan.&nbsp;
   </li>
   <li>
    Health insurance for the employee, their spouse, and children.&nbsp;
   </li>
   <li>
    21 working days of annual vacation.&nbsp;
   </li>
   <li>
    Rewaa is a fast-growing company with great opportunities to develop
    <br/>
   </li>
  </ul>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  <strong>
   Alert for Candidates
   <p>
    <br/>
   </p>
   <p>
    <span>
     Please be aware that Rewaa and its subsidiaries do not conduct interviews via email or text and will never request payment as a condition for applying for a position or receiving a job offer. To ensure your safety, apply only through Rewaa&rsquo;s official channels and avoid sharing personal information (name, address, birthdate, ID number, etc.) with unsolicited contacts. If you encounter anything suspicious, please let us know so we can assist you.
    </span>
   </p>
   <p>
    <br/>
   </p>
   <p>
    &nbsp;
    <strong>
     تنبية للمتقدمين
     <p>
      <span>
       تؤكد شركة رِواء وشركاتها التابعة على أنها لا تجري أي مقابلات عمل عبر البريد الإلكتروني أو الرسائل النصية، ولن تطلب أي مبالغ مادية كشرط للتقديم أو لتلقي عرض عمل على أي وظيفة. التقديم على وظائف شركة رواء يتم فقط عبر القنوات الرسمية للشركة، ونحذر من مشاركة معلوماتك الشخصية (مثل الاسم، العنوان، تاريخ الميلاد، والهوية الوطنية، وغيرها) مع أي طرف خارجي.
      </span>
     </p>
     <p>
      <br/>
     </p>
     <p>
      <strong>
       Notice to External Recruiters and Staffing Agencies
       <p>
        <br/>
       </p>
       <p>
        <span>
         Rewaa does not accept unsolicited resumes from external recruiters or staffing agencies. Any submission of an unsolicited resume to our resume database, directly to Rewaa hiring managers, or by other means will be considered gratis, and no recruiting fee will be paid if an unsolicited candidate from a third-party recruiter is subsequently hired. Fees will be paid ONLY where an external recruiter has an executed service contract in place with Rewaa and resumes have been solicited by our Talent Acquisition team in connection with a specific job opening.
        </span>
       </p>
       <p>
        <br/>
       </p>
       <p>
        &nbsp;
        <strong>
         إشعار للمستقطبين الخارجيين ووكالات التوظيف
         <p>
          <span>
           تؤكد شركة رِواء أنها لا تقبل أي سيرة ذاتية من المستقطبين الخارجيين أو وكالات التوظيف إلا إذا كانت بموجب عقد مبرم وموقع بين الطرفين. أي سيرة ذاتية تُقدم إلى قاعدة بياناتنا، أو تُرسل مباشرةً إلى مسؤولي التوظيف في شركة رِواء، أو تُرسل عبر أي وسيلة أخرى دون عقد مسبق، ستُعتبر خدمة مجانية، ولن يتم دفع أي رسوم توظيف في حال تعيين المرشح. تُدفع الرسوم فقط إذا تم طلب السيرة الذاتية من قِبَل مسؤولي التوظيف لدى شركة رِواء بموجب العقد.
          </span>
         </p>
         <p>
          <br/>
         </p>
         <p>
          <br/>
         </p>
         <br/>
         <p>
          We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
         </p>
        </strong>
       </p>
      </strong>
     </p>
    </strong>
   </p>
  </strong>
 </p>
</div>


Data Engineering Director

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><h2 class="jobSectionHeader"><b>
Director, Data Science - ICS Data Platform</b></h2><h2 class="jobSectionHeader">
Intuit&rsquo;s Customer Success platform (ICS) has an exciting opportunity to shape how we use Data and AI to drive insights and actions to drive customer outcomes, new customer growth, and adoption of Intuit services across the entire company. As the <b>Director of Data Science for the ICS Data Platform </b>you will be responsible for leading the development of the foundational data platform and capabilities that enable these outcomes for Intuit, reporting to the VP of Data Science for ICS. This is an exciting opportunity to develop the next generation of agentic tools to drive data science and the ICS ecosystem at Intuit.</h2><h2 class="jobSectionHeader">
In this role you will be leading a 35 person multi-disciplinary data science and analytics organization that will be connecting foundational data, agentic platform development, production modeling, platform product analytics and experimentation. You will directly manage the following teams which are working together to develop the aforementioned outcomes for the company:</h2><ul><li><h2 class="jobSectionHeader"><b>
Technical Data Analytics:</b> This team defines the data architecture, codevelops the data engineering strategy, owns the logic for KPI Standards, drives datamart prototyping and development in partnership with our Data Engineering team, and manages the technical mandates across the organization.</h2></li><li><h2 class="jobSectionHeader"><b>
Text Modeling Platform: </b>This team manages our unstructured text processing platform and develops many of our internal Data Science Products at Intuit such as our Voice of Customer tools. This capability converts multi-modal signals into structured data and actionable insights and serves them to thousands of internal stakeholders to drive real value to our end users and business. This team also manages the forecasts for our platform licenses and compute.</h2></li><li><div><b>
Agentic Analytics Platform Development:</b> This team is driving the transformation of how we do Data Science and Data Analytics work within ICS and is building the platform that brings this all together. They&rsquo;re developing servers, MCPs, agents, and orchestrators to enable all data professionals across the org to simplify their workflow and have greater impact in their spaces and beyond.</div></li><li><div><b>
ICS Platform Experimentation: </b>This team maintains the tools and governance for enabling experimentation at scale across ICS and coordinates experiments and traffic to ensure we&rsquo;re maximizing learnings against a fixed population of humans that serve our customers.</div></li><li><div><b>
Virtual Expert Platform (VEP) Product Analytics</b>: This team owns the product analytics support of our VEP space, which contains the tools our expert population (CPAs, Product Support Experts, etc) use to serve customers, as well as the platform on which all these contacts are managed. This team also manages the Agentic Performance Framework, driving visibility to our portfolio of production agents and their performance and maintenance.</div></li></ul><p></p><div><br>
In this role you will partner closely with various Customer Success Data Science teams as your peers, those embedded within our Consumer Group Segment, our Global Business Solutions Group Segment, and with the Expert Network Platform Data Science Team. You will also partner closely with our Data Product Management team responsible for managing our Data Product portfolio and prioritizing the problems we prioritize solving across this team.</div><p></p><div><br>
Furthermore, you will also partner with our Product Development org including the Data Engineering and AI Science teams to coordinate on development, as well as functional equivalents across our Business Units and Functional Data Science teams to align on common strategy and development and work with our Data Platform teams on aligning on strategy and managing our inputs into their roadmaps and technical mandates across Intuit.</div><p><b><br>
Responsibilities</b></p><ul><li><p>
Lead a 40 person organization (full time + contractors) managing those who manage the Technical Data Analytics, Data Tokenization, Unstructured Text Modeling, VEP Product Analytics, ICS Platform Experimentation, and Agentic Analytics Platform Development teams.</p></li><li><div>
Manage a 6-figure budget to strategically deploy contract resources to bolster the team through our business cycle to smooth out operations, and scale up to tackle business critical challenges that emerge.</div></li><li><div>
Lead the evolution of our datamart prototyping and metric standardization efforts leveraging GenAI to assist in the rapid development of production quality transformation to quickly harden the ICS data foundations in partnership with internal teams and partner organizations.</div></li><li><div>
Co-develop the vision for an integrated autonomous agentic data science platform that revolutionizes how we deliver data science and analytics at scale across ICS via a 150 person overall Data Science team resulting in substantial customer benefit, new customer growth, and adoption of Intuit services.</div></li><li><div>
Drive the development of the aforementioned vision across the various groups within this organization and in close partnership with your peers and partners across Intuit.</div></li><li><div>
Play a leadership role on Intuit&rsquo;s VOC Data Product, to influence product roadmaps, remove friction, and accelerate actionable insights for all businesses and customers across Intuit.</div></li><li><div>
Lead the development, validation, and operational deployment of MCPs and agents that include advanced machine learning models, including classification, clustering, time series forecasting, and reinforcement learning, to power CS automation, personalization, insight generation, and performance optimization.</div></li><li><div>
Be the steward of measurement frameworks and metric definitions (both measured and derived) to drive consistent use of metrics, processes, and insights tied to business strategy.</div></li><li><p>
Guide and inspire adoption of derived metrics, data governance, proper data development lifecycle, and agentic data products to influence enterprise-level investment decisions and adoption through strong partnerships and development outcomes.</p></li></ul><p></p><p><b><br>
Qualifications</b></p><ul><li><p>
Deep expertise in customer success and experience analytics, VoC methodologies, data engineering, and agentic industry tools. Ideally 12+ years working in Data Science or Data Analytics fields, and 6+ years managing data people managers.</p></li><li><div>
Proven track record of managing and developing people leaders leading Data Science, Data Analytics, or Data Engineering teams.</div></li><li><div>
Proven track record of developing high-performing teams and advancing analytics maturity in complex organizations.</div></li><li><div>
Advanced proficiency in data analysis, visualization, transformation, and modeling tools such as SQL, Python, R, Qlik, Tableau; experience with agentic development (MCP, agents, orchestrators) highly preferred.</div></li><li><div>
Extensive experience in supervised and unsupervised learning techniques including logistic regression, random forests, gradient boosting, NLP, text processing, topic extraction, and embedding techniques. Deep understanding of evaluation metrics, feature selection, and hyperparameter tuning.</div></li><li><div>
Demonstrated ability to leverage and develop GenAI systems (ChatGPT, NotebookLM, Anthropic Claude, etc) to make step-change impact to both business and personal work. Ongoing learning mindset to stay up to date on industry developments.</div></li><li><div>
Ability to access, integrate, and operationalize data from diverse sources including survey, behavioral, social, digital, and support channel data.</div></li><li><div>
Proven strategic impact through insights that drive retention, revenue, ecosystem adoption, customer benefit, and experience innovation.</div></li><li><div>
Demonstrated ability to influence senior executive stakeholders and lead cross-functional enterprise partnerships.</div></li><li><div>
Experience in developing and scaling measurement frameworks tied to organizational Input Goals, leading indicators, and Outcome Metrics indicators for customer outcomes and business performance.</div></li><li><div>
Strong experimentation background with the ability to lead hypothesis testing to deliver value across customer and expert populations as well as automate and scale platform experimentation standards across an organization.</div></li><li><p>
Passion for customer success, combined with extreme ownership, boundaryless leadership, operational rigor, and adaptability in dynamic environments.</p></li><li><p>
Familiarity and experience in the customer success, tax, B2B, fintech, money movement, accounting, sales, or voice of customer domains is a strong plus.</p></li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: 268500 - 363000</p></div><p></p>

Director, Data Science - Intuit Customer Success Data Platform

Merck

<div><p><b>Job Description</b></p><p></p><p>
This role will reside within the<b> </b>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.</p><p>
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.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p><b>
Translate business needs</b> and priorities to build analytical plans that answer business questions by providing actionable insights. Effectively communicating advanced analytics to stakeholders to inform business decisions.</p></li><li><p><b>
Communicate &amp; collaborate effectively </b>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.</p></li><li><p><b>
Analyze data</b> across disparate databases/sources (including claims/EMR Data and other sources) to develop insights that inform commercial business strategies.</p></li><li><p><b>
Stay current with industry trends</b> and advancements in analytical methodologies to bring new ideas forward (including application of GenAI) that will enhance analytic capabilities of the organization.</p></li><li><p><b>
Contribute to innovative experiments</b>, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria to make meaningful improvements to the business processes and strategies.</p></li><li><p><b>
Derive actionable business insights</b> from various data sources, develop clear data story, and communicate effectively to business stakeholders.</p></li><li><p><b>
Lead and mentor a team</b> 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.</p></li></ul><p></p><p>
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.</p><p>
The preferred candidate will have an entrepreneurial spirit, consultative and strategic mindset, experience in <b>immunology</b> &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.</p><p></p><p><b>
Education Requirements:</b></p><ul><li><p>
BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or equivalent scientific/ commercial discipline.</p></li><li><p>
MBA, MS or PhD degree is preferred</p></li></ul><p></p><p><b>
Required Experience and Skills:</b></p><ul><li><p>
5+ years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry.</p></li><li><p>
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.</p></li><li><p>
Self-motivated, proactive mindset, and ability to work independently.</p></li><li><p>
Story-telling and executive presence with senior leaders.</p></li><li><p>
Effective interpersonal skills, communication skills, and stakeholder management, including experience collaborating in a matrixed organization and ability to align stakeholders on data-driven decisions.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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).</p></li><li><p>
Prior hands-on experience working with healthcare data especially EMR/EHR, Claims Data (i.e. IQVIA APLD) and various data offerings.</p></li><li><p>
Ability to develop efficient programming code and software assets that provide advanced analytical functionality.</p></li><li><p>
Proven data science experience leveraging advanced statistical methods, Machine Learning/ Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.</p></li><li><p>
Knowledge of both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQL etc.</p></li><li><p>
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</p></li><li><p>
Travel may be required &lt;20%.</p></li></ul><p></p><p><b>
Preferred Experience and Skills:</b></p><ul><li><p>
Domain knowledge in <b>immunology</b>, specifically as it relates to data analytics.</p></li><li><p>
MBA, MS or PhD degree is a plus.</p></li></ul><p></p><p><b>
Required Skills:
</b></p>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<p></p><p><b>
Preferred Skills:</b></p><p></p><p><b><br>
US and Puerto Rico Residents Only:</b></p><p></p><p>
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.</p><p>
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:</p><p></p><p>
EEOC Know Your Rights</p><p>
EEOC GINA Supplement
</p><p></p><p>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.</p><p></p><p>
Learn more about your rights, including under California, Colorado and other US State Acts</p><p></p><p><b>
U.S. Hybrid Work Model</b></p><p></p><p>
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;.</p><p></p><p>
The salary range for this role is</p>
$156,900.00 - $247,000.00<p></p><p>
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.</p><p></p><p>
The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.</p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p><b>
San Francisco Residents Only:</b> We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance</p><p></p><p><b>
Los Angeles Residents Only:</b> 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</p><p></p><p><b>
Search Firm Representatives Please Read Carefully</b><br>
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.</p><p></p><p><b>
Employee Status:
</b></p>Regular<p></p><p><b>
Relocation:</b></p>
No relocation<p></p><p><b>
VISA Sponsorship:</b></p>
No<p></p><p><b>
Travel Requirements:</b></p>
10%<p></p><p><b>
Flexible Work Arrangements:</b></p>
Hybrid<p></p><p><b>
Shift:</b></p>
Not Indicated<p></p><p><b>
Valid Driving License:</b></p>
No<p></p><p><b>
Hazardous Material(s):</b></p>
n/a<p></p><p><b>
Job Posting End Date:</b></p>
03/9/2026<ul><li><b>A job posting is effective until 11:59:59PM on the day </b><b>BEFORE</b><b> the listed job posting end date. Please ensure you apply to a job posting no later than the day </b><b>BEFORE</b><b> the job posting end date.<br>
</b></li></ul><br>
<p><b>Requisition ID:</b>R387139</p></div>

Assoc. Dir , Business Insights & Analytics and Data Science

Cohere Health

<div><p><b>Opportunity Overview:</b></p>
<p>
We are seeking a Director of Data &amp; AI to join our product development team. In this role, you will lead world-class analytics, data science, and machine learning teams to enable clinical insights and precision AI. You'll partner closely with product, design, and software engineering to drive the research and development of data-centric solutions.</p>
<p>
As a member of the leadership team, you'll work closely with business and AI partners across the globe to co-create solutions and drive the seamless execution of critical initiatives. You'll have the opportunity to apply deep analytics and AI expertise to deliver products that transform healthcare. You'll foster a culture of innovation, champion Cohere's values and leadership principle, and guide a team of engineers, analysts, and scientists to leverage complex healthcare data and methodologies in a fast-paced, rapidly-evolving landscape answering critical business and clinical questions. By combining modern analytic tools, methodologies, and AI technologies to meet challenging and open-ended business requests, this crucial role molds our analysis and builds data-driven analytics products.</p>
<p><b>
What you'll do:</b></p>
<ul>
<li>Recruit and build high-caliber machine learning, data science, and business intelligence development team</li>
<li>Leadership and Management:</li>
<li><ul><li>Lead and manage engineering teams, including recruitment, mentorship, and performance evaluation.</li>
<li>Nurture a collaborative and innovative culture within the team and throughout the organization</li>
<li>Develop and implement strategic plans for the Data &amp; AI department in alignment with the company's goals</li>
<li>Ownership and accountability of key quality and delivery metrics of the Data &amp; AI solutions, including time to value, model accuracy, etc.</li>
</ul></li><li>Collaboration and Communication</li>
<li><ul><li>Partner with Cohere Health's US-based Data &amp; AI team and assure consistent technical strategy, aligned roadmaps, and value-centric delivery approaches.</li>
<li>Collaborate with cross-functional product, clinical, and engineering partners to understand their needs, recommend solution approaches, and develop execution strategies</li>
</ul></li><li>Innovation and Delivery</li>
<li><ul><li>Oversee the design, development, and deployment of analytic and AI solution developments</li>
<li>Identify opportunities for technological advancements, applicable technical patterns, and innovation.</li>
<li>Direct an innovation pipeline from experimentations, to development, to maturation</li>
<li>Provide technical guidance, managing timeline, and ensuring quality and scalability of deliverables</li>
<li>Foster a data-driven decision-making culture and prioritize responsible AI</li>
</ul></li>
</ul><p><b>What you'll need:</b></p>
<p><b>
Must-haves</b></p>
<ul>
<li>8+ years of management experience hiring and developing data-centric development teams</li>
<li>12+ years of experience in data science and machine learning</li>
<li>Advanced degree (MS or Ph.D.) in a quantitative field Math, Engineering, Computer Science, Machine Learning</li>
<li>Proven success in growing and managing geographically distributed teams and fostering multi-functional collaborations</li>
<li>Track record of translating complex business problems into end-to-end data analytics products with a quantifiable business impact</li>
<li>Demonstrated success in maturing machine learning prototypes into scalable software</li>
<li>Experience with US managed care design and operations</li>
</ul>
<p><b>Nice-to-haves</b></p>
<ul>
<li>Strong preference for healthcare experience, specifically experience in Utilization Management, Payment Integrity, Risk Adjustment and Quality Measures</li>
<li>Hands-on experience with large-scale healthcare administrative and clinical data</li>
<li>Familiarity with healthcare body codesets, terminology and ontology</li>
<li>Prior experience in B2B enterprise SaaS startup</li>
</ul>
<p><b>About ZignaAI, a Cohere Health Company:</b></p>
<p>
Cohere Health's clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.</p>
<p>
With the acquisition of ZignaAI, we've further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate&trade;, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we're creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.</p>
<p>
Cohere Health's innovations continue to receive industry wide recognition. We've been named to the 2025 Inc. 5000 list and in the Gartner&reg; Hype Cycle&trade; for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn&trade; Startup for 2023 &amp; 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.</p>
<p>
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.</p>
<p><b>
We can't wait to learn more about you and meet you at ZignaAI, a Cohere Health company!</b></p>
<p><b>
Equal Opportunity Statement:</b></p>
<p>
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it's personal.</p></div>

Director, Data & AI

Charlotte Mecklenburg Schools

<div><p><b>General Definition of Work</b></p>
<p>
The Director of Data Strategy and Governance, under minimal supervision, performs senior-level leadership with considerable decision-making discretion overseeing the development and management of both internal and external data request processes, as well as data governance and analytical functions that support district departments and external partners. Position is responsible for the creation, maintenance, and optimization of the district's data platforms, ensuring their effective and secure operation. Position is also responsible to uphold data integrity across all systems by ensuring accuracy, consistency, completeness, and reliability throughout the data lifecycle. Employee performs advanced technical and supervisory work to carry out Board of Education policies and procedures under the direction of the Associate Superintendent of Data Governance.</p><br>
<p></p>
<p><b>
Qualifications</b></p>
<p>
To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements below represent the required knowledge, skill, and/or ability. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.</p><br>
<p></p>
<p><b>
Salary/Status</b></p>
<p>
PG 10/Full-time, 12 months</p><br>
<p></p>
<p><b>
Reports To</b></p>
<p>
Associate Superintendent of Data Governance</p><br>
<p></p>
<p><b>
Place of Work</b></p>
<p>
The normal place of work is on the premises used by Charlotte-Mecklenburg Schools. Charlotte-Mecklenburg Schools reserves the right to require you to work at such other place(s) as it may reasonably require from time to time.</p><br>
<p></p>
<p><b>
Essential Functions</b></p>
<ul>
<li>Adhere to all state, federal, and local laws, policies, and procedures</li>
<li>Lead, manage, supervise, and evaluate assigned staff/programs</li>
<li>Lead departmental engagements to oversee the data governance process and develop districtwide data dashboards</li>
<li>Investigate, analyze, and formulate methods for handling special projects/reports</li>
<li>Develop, coordinate, and oversee internal and external data requests, ensuring alignment and collaboration with each department</li>
<li>Plan, develop, implement, and direct a strategic framework for monitoring district data, strengthening leaders' ability to meet the district's strategic plan and SOFG goals - particularly those related to continuous improvement</li>
<li>Manage the efficient, accurate, and timely generation of reports or spreadsheets for large- and small-scale dissemination (internal or external) using statistical software and visualization software</li>
<li>Develop and monitor the district's data governance system, including recommending policies and procedures that align with CMS Board Policy and State and Federal Laws</li>
<li>Plan, develop, implement, and direct the use of the framework designed to strategically monitor the district data and build the capacity of district leaders to meet the strategic plan goals, specifically surrounding continuous improvement efforts</li>
<li>Participate in the development and administration of the department budget</li>
<li>Facilitate staff meetings and attend other related meetings as needed/required</li>
<li>Participate in professional development workshops and leadership training</li>
<li>Create an inclusive environment with positive communication/public relations</li>
<li>Perform related work as assigned or required</li></ul><br>
<p></p>
<p><b>
Knowledge, Skills, Abilities</b></p>
<ul>
<li>Comprehensive knowledge of principles, practices, and procedures of public schools</li>
<li>Comprehensive knowledge of school board and administrator objectives, procedures, and organization</li>
<li>Comprehensive knowledge of statistics and sound measurement practice</li>
<li>Comprehensive knowledge of data warehouses</li>
<li>Thorough knowledge of data analysis</li>
<li>Thorough knowledge of working with large data sets from a variety of data systems (internal and external)</li>
<li>Thorough knowledge of statistical and graphical software used in analyzing and reporting required data</li>
<li>Ability to train staff in high level technical analytical and quantitative analyses</li>
<li>Ability to maintain professional and emotional control under stress</li>
<li>Ability to reflect appropriate response to situations, while maintaining a professional and personal demeanor</li>
<li>Ability to learn and use specialized tools, equipment or software related to business needs</li>
<li>Ability to develop and monitor a budget</li>
<li>Ability to direct and evaluate the work of others</li>
<li>Ability to implement local, state, and federal rules, guidelines, and procedures into daily business operations</li>
<li>Ability to communicate effectively</li>
<li>Ability to reason, make judgments, and maintain effective working relationships</li>
<li>Ability to employ positive communication skills in all settings/mediums</li>
<li>Ability to problem-solve utilizing sound judgment</li>
<li>Ability to maintain confidentiality regarding school system business</li>
<li>Ability to develop related charts, graphs, reports, and records pertaining to school planning and strategy</li>
<li>Ability to take initiative, work independently, and exercise sound judgement</li>
<li>Ability to conceptualize, initiate, monitor, and evaluate new and/or current programs</li>
<li>Demonstrated ability to perform detailed work, planning, risk assessments, and associated risk mitigation actions</li>
<li>Demonstrated ability to work effectively in a deadline-driven, rapidly changing team environment</li></ul><br>
<p></p>
<p><b>
Education and Experience</b></p>
<ul>
<li>Bachelor's degree in business administration, public administration, education, or related field required</li>
<li>Master's degree and five (5) years of experience in data analysis and integration preferred</li>
<li>Equivalent combination of experience and education</li></ul><br>
<p></p>
<p><b>
Special Requirements</b></p>
<ul>
<li>Possess and maintain a valid Driver's License or the ability to provide own transportation</li>
<li>Travel to school district buildings and professional meetings</li></ul></div>
<br><div><div># of Jobs 1.00
</div><div>Minimum Educational Requirements Bachelors
</div><div>Term 12 Month
</div><div>Additional Job Information</div></div><div></div>

Director of Data Strategy and Governance

Synnefo Solutions

<p>We are looking for an experienced and passionate Data Science Trainer to deliver high-quality training programs and enhance students&rsquo; technical knowledge in data science and analytics. The role involves conducting training sessions, mentoring students, and implementing effective learning strategies aligned with industry standards.</p><p>Key Responsibilities</p><ul><li>Conduct training sessions on data science concepts, tools, and techniques.</li><li>Guide and mentor students in practical projects and real-world applications.</li><li>Prepare training materials, assignments, and assessments.</li><li>Monitor student progress and provide technical support.</li><li>Update training programs based on industry trends and technologies.</li><li>Evaluate student performance and ensure high success rates.</li></ul><p>Required Skills &amp; Qualifications</p><ul><li>Minimum <b>1+ years of experience</b> in data science, analytics, or related field.</li><li>Strong knowledge of Python, statistics, machine learning, and data visualisation.</li><li>Experience with data analysis tools and libraries.</li><li>Teaching or training experience preferred.</li><li>Strong communication and mentoring skills.</li><li>Knowledge of industry trends and modern data science practices.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹20,000.00 - ₹35,000.00 per month</p><p>Benefits:</p><ul><li>Leave encashment</li><li>Paid sick time</li><li>Provident Fund</li></ul><p>Ability to commute/relocate:</p><ul><li>Kochi, Kerala: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Experience:</p><ul><li>Data science: 1 year (Required)</li></ul><p>Language:</p><ul><li>English (Preferred)</li></ul><p>Work Location: In person</p>

Data Science Trainer

Search 10000+ Data sciences director jobs near you this March. New roles added regularly across leading industries. Apply today.