data analysis manager

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<p></p><div><div><div><b>About the company : Databricks</b></div><div></div><div><br>
Databricks, Inc. is a San Francisco-based Software company. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence, including generative AI and other machine learning models.</div><div></div><div><b><br>
Designation: Assistant Manager - Data Science</b></div><div><b>
Experience: 6 to 8 years</b><br>
<b>Location: Remote-tn, Tamil Nadu, India (REM_TN)</b></div><div><b><br>
Job Description:</b></div><div></div><div><br>
We are seeking a highly skilled Generative AI Specialist to join our team. The ideal candidate will have expertise in Generative AI for data analysis and insights generation, as well as implementing Conversational AI solutions on databases like Databricks/Snowflake and BI applications such as Tableau and Power BI. This role requires the ability to develop and deploy AI applications using LLMs that enhance business intelligence capabilities through automated data analysis and natural language interactions.</div><div></div><div><b><br>
Responsibilities:</b></div><div></div><div><br>
Highly skilled Generative AI Specialist to join our team. The ideal candidate will have expertise in Generative AI for data analysis and insights generation, as well as implementing Conversational AI solutions on databases like Databricks / Snowflake and BI applications such as Tableau and Power BI. This role requires the ability to develop and deploy AI applications using LLMs that enhance business intelligence capabilities through automated data analysis and natural language interactions. Stakeholder Management, Presenting findings to leadership team</div><div></div><div><br>
Design, Develop and deploy Conversational AI solutions for database queries and BI tools like Tableau, Power BI, and other analytics platforms.</div><div></div><ul><li><br>
Leverage advanced Gen AI methodologies, workflows, agents, and graph-based approaches to process and analyze large datasets, delivering actionable insights.</li></ul><div></div><ul><li><br>
Proficient in integrating AI across the technology stack, including database like Databricks / Snowflake and reporting tools such as Power BI and Tableau</li></ul><div></div><ul><li><br>
Ensure ethical AI development, bias mitigation, and adherence to responsible AI practices.</li></ul><div></div><ul><li><br>
Work with large-scale datasets to train AI models efficiently and improve data-driven decision-making.</li></ul><div></div><ul><li><br>
Collaborate with multiple stake holders including program managers, data scientists, engineers, and business analysts to integrate AI solutions into data pipelines.</li></ul><div></div><ul><li><br>
Stay up to date with advancements in AI research and apply best practices in AI model development.</li></ul><div></div><div><br>
Required Skills &amp; Qualifications:</div><div></div><ul><li><br>
Relevant experience in the field of LLMs</li></ul><div></div><ul><li><br>
Bachelor's or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li></ul><div></div><ul><li><br>
Strong programming skills in Python , SQL and AI applications development interfaces like TensorFlow, PyTorch, JAX, AutoGen etc.</li></ul><div></div><ul><li><br>
Familiarity with BI tools (Tableau, Power BI, Looker, etc.) and databases such as Snowflake.</li></ul><div></div><ul><li><br>
Experience integrating AI models with BI tools for enhanced data analysis.</li></ul><div></div><ul><li><br>
Experience in creating AI Agent using LLMs (Large Language Models) and fine-tuning if required.</li></ul><div></div><ul><li><br>
Strong problem-solving skills and ability to work in a fast-paced environment.</li></ul><div></div><ul><li><br>
Excellent communication and collaboration skills.</li></ul><div></div><div><br>
Preferred Qualifications:</div><ul><li>Understanding of AI-driven data visualization and analytics workflows.</li></ul><div></div><ul><li><br>
Experience with neural deep learning and generative models.</li></ul><div></div><ul><li><br>
Contributions to AI research, open-source projects, or published papers in the field.</li></ul><div></div><ul><li><br>
Good to have experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.</li></ul><div></div><ul><li><br>
Work with Databricks/Snowflake and Cortex AI</li></ul><div></div><div><b><br>
Skills:</b></div><div></div><div><br>
6 to 8 years in the Data Science domain</div><div></div><div><br>
highly skilled Generative AI Specialist to join our team. The ideal candidate will have expertise in Generative AI for data analysis and insights generation, as well as implementing Conversational AI solutions on databases like Databricks/ Snowflake and BI applications such as Tableau and Power BI.</div><div>
Leverage advanced Gen AI methodologies, workflows, agents, and graph-based approaches to process and analyze large datasets, delivering actionable insights.</div></div></div>
<br><div><div><b>Job Snapshot</b></div><div><div><div>
Updated Date</div><div>
10-11-2025</div></div><div><div>
Job ID</div><div>
J_4212</div></div><div><div>
Location</div>
Remote-tn, Tamil Nadu, India
</div><div><div>Experience</div><div>
6 - 8 Years</div></div><div><div>
Employee Type</div><div>
Permanent</div></div></div></div>

Assistant Manager - Data Science

Elevance Health

<p></p><div><p><b>Manager Reporting and Data Analysis</b></p><p></p><p><b>
Location:</b> This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Ideal candidates will be able to report to one of our Pulse Point locations in Chicago, IL or Norfolk, VA. Alternate locations may be considered if candidates reside within a commuting distance from an office.</p><p></p><p>
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.</p><p></p><p>
The <b>Manager Reporting and Data Analysis</b> manages and coordinates the activities of a regional data analysis and consulting unit to accomplish company objectives through information management. Supports customers in the areas of project management, data analysis, and both routine and ad hoc reporting. This role will also support Payment Integrity Financial and Operational Data, including the administration, integration, and maintenance of databases containing relevant payment integrity data to ensure data accuracy, accessibility, and compliance with organizational standards.</p><p></p><p><b>
How you will make an impact:</b></p><p></p><ul><li><p>
Manages the prioritization and development of applications and reports for business reporting and analysis purposes including ad hoc data analysis and special projects.</p></li><li><p>
Obtains resources (people, funding, material, support) to support business unit information needs.</p></li><li><p>
Ensures accuracy and timeliness of output and deliverables for assigned functional areas.</p></li><li><p>
Implements the policies, practices, and procedures of the company and business units supported.</p></li><li><p>
Manages fiscal responsibility for area budgets.</p></li><li><p>
Establishes relationships with business users and technical specialists, primarily internal.</p></li><li><p>
Hires qualified staff for assigned areas or functions.</p></li><li><p>
Oversees entire reporting/analysis/consulting unit or all aspects of a centralized function.</p></li><li><p>
Communicates with customers about technical issues in non-technical terms.</p></li><li><p>
Understands the business processes that the system supports.</p></li><li><p>
Hires, trains, coaches, counsels, and evaluates performance of direct reports.</p></li><li><p>
Pulls data from multiple warehouses for the regional data as needed.</p></li><li><p>
Supports ETL processes and data integration workflows using SQL and Informatica to ensure consistent and reliable data pipelines for reporting and analytics.</p></li><li><p>
Exhibits strong financial accountability.</p></li></ul><p></p><p><b>
Minimum Requirements:</b></p><p></p><p>
Requires BA/BS degree in IT/IS, Business Administration, Mathematics or Statistics and a minimum of 5 years of professional experience, and a minimum of 5 years management in developing &amp; executing strategy and staff management; or any combination of education and experience, which would provide an equivalent background.</p><p></p><p><b>
Preferred Skills, Capabilities and Experiences:</b></p><p></p><ul><li><p>
Excellent written, oral, and interpersonal skills highly preferred.</p></li><li><p>
Experience with ETL development (SQL, Informatica) and data management highly preferred.</p></li><li><p>
MBA, MIS, FSA/ASA, CPA preferred.</p></li><li><p>
Managed health care industry experience preferred.</p></li></ul><p></p><p>
For candidates working in person or virtually in the below location(s), the salary* range for this specific position is $129,888 - $194,832.</p><p></p><p>
 Location: Chicago, IL</p><p><br>
</p><p>In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws<i>.</i></p><p><br>
</p><ul><li>The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</li></ul><br>
<p></p>
<p>Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.</p>
<p>Who We Are</p>
<p>Elevance Health is a health company dedicated to improving lives and communities &ndash; and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.</p>
<p>How We Work</p>
<p>At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.</p>
<p>We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.</p>
<p>Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.</p>
<p>The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.</p>
<p>Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance.</p>
<p>Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.</p></div>

Manager Reporting and Data Analysis

Envision Employment Solutions

<p><b>Envision Employment Solutions</b> is currently hiring a <b>Data Science Manager</b> on behalf of one of our partners, a leader in the retail Motor Vehicles field.</p> Job Summary <p>As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption.</p> Responsibilities <ul> <li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li> <li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li> <li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li> <li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li> <li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li> <li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li> <li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li> <li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li> <li>Monitor and optimize the performance of data systems and solutions across the organization.</li> </ul> Qualifications <ul> <li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li> <li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li> <li>Proficiency in programming languages such as Python or R.</li> <li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li> <li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li> <li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li> <li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li> <li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li> <li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li> <li>Proactive, innovative mindset with keen attention to detail.</li> <li>Ability to manage multiple projects and priorities in a fast-paced environment.</li> <li>Experience with data visualization tools and techniques.</li> <li>Having an automotive background is a <b>PLUS</b>.</li> </ul>

Data Science Manager

<div>
 <p>
  <strong>
   Line of Service
   <br/>
  </strong>
  Advisory
  <br/>
  <br/>
  <p>
   <strong>
    Industry/Sector
    <br/>
   </strong>
   Technology
   <br/>
   <br/>
   <p>
    <strong>
     Specialism
     <br/>
    </strong>
    Advisory - Other
    <br/>
    <br/>
    <p>
     <strong>
      Management Level
      <br/>
     </strong>
     Manager
     <br/>
     <br/>
     <p>
      <strong>
       Job Description &amp; Summary
       <br/>
      </strong>
      At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
      <br/>
      <br/>
      Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
      <br/>
      <br/>
      <br/>
      <strong>
       Role Overview
       <br/>
       <br/>
      </strong>
      We are seeking a highly skilled and experienced Data Scientist to join our team at a leading professional services firm. The ideal candidate will have a strong background in data science, analytics, and machine learning, with at least 4 years of relevant experience. This role involves working closely with cross-functional teams to derive actionable insights from complex data sets and support strategic decision-making about how we attract, develop, and retain top talent, improve decision-making about our people, and deliver business-driven, actionable insights.
      <br/>
      <br/>
      <strong>
       Key Responsibilities
       <br/>
      </strong>
      <ul>
       <li>
        Design, develop, and implement advanced data models and algorithms to solve business problems.
       </li>
       <li>
        Analyze large and complex data sets to identify trends, patterns, and insights.
       </li>
       <li>
        Collaborate with stakeholders to understand business requirements and translate them into business questions and data solutions.
       </li>
       <li>
        Develop and maintain dashboards, reports, and visualizations to communicate findings effectively.
       </li>
       <li>
        Apply machine learning and AI techniques to enhance data-driven decision-making.
       </li>
       <li>
        Ensure data governance, quality, and compliance with internal and external standards.
       </li>
       <li>
        Stay current with industry trends and emerging technologies in data science and analytics.
        <br/>
        <br/>
       </li>
      </ul>
      <strong>
       Required Qualifications and Experience
       <br/>
      </strong>
      <ul>
       <li>
        Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
       </li>
       <li>
        Minimum of 4 years of professional experience in data science or analytics roles.
       </li>
       <li>
        Technical proficiency in complex statistical analysis using tools such as R or Python.
       </li>
       <li>
        Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
       </li>
       <li>
        Knowledge of generative AI models and their applications.
       </li>
       <li>
        Experience using APIs, SQL and other technical methods to extract and combine data from various sources.
       </li>
       <li>
        Strong skills in data visualization tools such as Power BI.
       </li>
       <li>
        Excellent analytical, problem-solving, and communication skills, both written and verbal (in English).
       </li>
       <li>
        Flexibility to work across time zones and support global clients.
        <br/>
        <br/>
       </li>
      </ul>
      <strong>
       Preferred Qualifications
       <br/>
      </strong>
      <ul>
       <li>
        Advanced degree (MSc or PhD) in a quantitative field.
       </li>
       <li>
        Experience in extracting and working with large and complex people data sets, preferably Workday HCM.
       </li>
       <li>
        Experience working in a professional services or consulting environment.
       </li>
       <li>
        Experience in managing analytics projects in a complex, matrixed environment.
       </li>
       <li>
        Familiarity with cloud platforms such as AWS, Azure, or GCP.
        <br/>
        <br/>
       </li>
      </ul>
      <strong>
       Soft Skills
       <br/>
      </strong>
      <ul>
       <li>
        Strong interpersonal and stakeholder management skills.
       </li>
       <li>
        Ability to work independently and collaboratively in a team environment, providing coaching, feedback and supervision.
       </li>
       <li>
        Excellent time management and organizational skills.
       </li>
       <li>
        Eagerness to innovate and learn new technologies, failing fast and learning from mistakes.
       </li>
       <li>
        High attention to detail.
       </li>
       <li>
        Adaptability and resilience in a fast-paced environment
        <br/>
       </li>
      </ul>
      <p>
       <strong>
        Required Skills
        <br/>
        <br/>
       </strong>
       <p>
        <strong>
         Optional Skills
         <br/>
        </strong>
        Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 23 more}
        <br/>
        <br/>
        <p>
         <strong>
          <span>
           Desired Languages
          </span>
         </strong>
         <em>
          <span>
           (If blank, desired languages not specified)
           <br/>
           <br/>
          </span>
         </em>
         <p>
          <strong>
           Travel Requirements
           <br/>
           <br/>
          </strong>
          <p>
           <strong>
            Available for Work Visa Sponsorship?
            <br/>
            <br/>
           </strong>
           <p>
            <strong>
             Government Clearance Required?
             <br/>
             <br/>
            </strong>
            <p>
             <strong>
              Job Posting End Date
              <br/>
              <br/>
              <br/>
              <br/>
             </strong>
            </p>
           </p>
          </p>
         </p>
        </p>
       </p>
      </p>
     </p>
    </p>
   </p>
  </p>
 </p>
</div>


ETIC, Data Science - Manager

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Technology
<p></p><p><b>Specialism
</b></p>Advisory - Other
<p></p><p><b>Management Level
</b></p>Manager
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
<br>
<br>
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
<p></p><p><b>Role Overview
</b></p><p></p><p>We are seeking a highly skilled and experienced Data Scientist to join our team at a leading professional services firm. The ideal candidate will have a strong background in data science, analytics, and machine learning, with at least 4 years of relevant experience. This role involves working closely with cross-functional teams to derive actionable insights from complex data sets and support strategic decision-making about how we attract, develop, and retain top talent, improve decision-making about our people, and deliver business-driven, actionable insights.
</p><p></p><p><b>Key Responsibilities
</b></p><ul><li>Design, develop, and implement advanced data models and algorithms to solve business problems.
</li><li>Analyze large and complex data sets to identify trends, patterns, and insights.
</li><li>Collaborate with stakeholders to understand business requirements and translate them into business questions and data solutions.
</li><li>Develop and maintain dashboards, reports, and visualizations to communicate findings effectively.
</li><li>Apply machine learning and AI techniques to enhance data-driven decision-making.
</li><li>Ensure data governance, quality, and compliance with internal and external standards.
</li><li>Stay current with industry trends and emerging technologies in data science and analytics.
</li></ul><p></p><p><b>Required Qualifications and Experience
</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
</li><li>Minimum of 4 years of professional experience in data science or analytics roles.
</li><li>Technical proficiency in complex statistical analysis using tools such as R or Python.
</li><li>Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
</li><li>Knowledge of generative AI models and their applications.
</li><li>Experience using APIs, SQL and other technical methods to extract and combine data from various sources.
</li><li>Strong skills in data visualization tools such as Power BI.
</li><li>Excellent analytical, problem-solving, and communication skills, both written and verbal (in English).
</li><li>Flexibility to work across time zones and support global clients.
</li></ul><p></p><p><b>Preferred Qualifications
</b></p><ul><li>Advanced degree (MSc or PhD) in a quantitative field.
</li><li>Experience in extracting and working with large and complex people data sets, preferably Workday HCM.
</li><li>Experience working in a professional services or consulting environment.
</li><li>Experience in managing analytics projects in a complex, matrixed environment.
</li><li>Familiarity with cloud platforms such as AWS, Azure, or GCP.
</li></ul><p></p><p><b>Soft Skills
</b></p><ul><li>Strong interpersonal and stakeholder management skills.
</li><li>Ability to work independently and collaboratively in a team environment, providing coaching, feedback and supervision.
</li><li>Excellent time management and organizational skills.
</li><li>Eagerness to innovate and learn new technologies, failing fast and learning from mistakes.
</li><li>High attention to detail.
</li><li>Adaptability and resilience in a fast-paced environment
</li></ul><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required:
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p><p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 23 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p><p></p><p><b>Available for Work Visa Sponsorship?
</b></p><p></p><p><b>Government Clearance Required?
</b></p><p></p><p><b>Job Posting End Date</b></p></div><p></p>

Envision Employment Solutions is currently hiring a Data Science Manager on behalf of one of our partners, a leader in the retail Motor Vehicles field.
<br><br>
<b>Job Summary:</b><br>
As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li>
<li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li>
<li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li>
<li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li>
<li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li>
<li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li>
<li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li>
<li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li>
<li>Monitor and optimize the performance of data systems and solutions across the organization.</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li>
<li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li>
<li>Proficiency in programming languages such as Python or R.</li>
<li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li>
<li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li>
<li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li>
<li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li>
<li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li>
<li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li>
<li>Proactive, innovative mindset with keen attention to detail.</li>
<li>Ability to manage multiple projects and priorities in a fast-paced environment.</li>
<li>Experience with data visualization tools and techniques.</li>
<li>Having an automotive background is a PLUS.</li>
</ul>


Avid Bioservices

<div><div>Looking to join a passionate team dedicated to developing and manufacturing life-saving biopharmaceuticals? Avid Bioservices is a leading clinical and commercial biologics CDMO focused on creating innovative solutions to meet the needs of our clients and improve patient outcomes.</div><div></div><div><b>
Your Role:</b></div><div>
The <b>Manager, Data Analytics</b> is responsible for overseeing master data management and integrity, ERP system functionality, system optimization, QMS documentation and metrics reporting. This role combines hands-on analytical expertise with leadership responsibilities, ensuring accurate planning, reporting and team development. The Data Analytics Manager will serve as a key liaison between cross-functional teams including Manufacturing, Quality, and Warehouse Operations.
</div><ul><li>Supervise and mentor a team of analysts responsible for ERP data management, QMS documentation, and reporting.</li><li>
Serve as a Dynamics D365 super-user, ensuring accurate BOM setup, item master data, and system configuration.</li><li>
Collaborate with Manufacturing, Quality, and Warehouse teams to ensure timely release and availability of materials.</li><li>
Develop and monitor Supply Chain KPIs and metrics to drive continuous improvement and cost reduction.</li><li>
Oversee training documentation and onboarding processes for ERP users.</li><li>
Troubleshoot ERP issues related to material masters, recipes, and process orders.</li><li>
Support cycle count and physical inventory processes, including gap analysis and classification adjustments.</li><li>
Recommend and implement process improvements and system enhancements.</li><li>
Ensure compliance with cGMP and regulatory requirements in all supply chain operations.</li><li>
Assist end-users in developing reports to assist in data analysis and business decisions.</li><li>
Responsible for assisting in the implementation of newly defined ERP related initiative including modifications or enhancements.
</li><li>Communicates and works with ERP system users, vendors and management to determine appropriate system configuration and set-up.</li><li>
Utilize system data to review stocking levels and inventory turns to recommend adjustments to reorder points.</li><li>
Other duties may be assigned.</li></ul><div>
Supervisory Responsibilities:</div><ul><li>
Direct supervision of analysts.</li><li>
Provide coaching, performance feedback, and development opportunities.</li><li>
Ensure team alignment with departmental goals and operational excellence.</li></ul><div><b>
Minimum Qualifications:</b></div><ul><li>
Bachelor&rsquo;s degree in supply chain, business, life sciences, or related field.</li><li>
Minimum 6 years of experience in supply chain operations, with at least 2 years in a supervisory or lead role.</li><li>
Experience in pharmaceutical or biotech industry preferred.</li><li>
Proficiency in ERP systems (preferably Dynamics D365 or Oracle).</li><li>
Strong understanding of MRP, BOM, and production scheduling principles.</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and interpersonal abilities.</li><li>
Ability to manage multiple priorities and meet deadlines.</li><li>
Proficient in Microsoft Office Suite (Excel, Word, Outlook).</li><li>
Knowledge of cGMP and Good Documentation Practices.</li><li>
Leadership and team-building capabilities.</li></ul><div><b>
Position Type/Expected Hours of Work:</b></div><div>
This role is a full-time position. Days and hours of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. unless otherwise stated by Supervisor. The employee must also, if instructed, have the ability to work overtime when necessary.</div><div>
</div><div><b>
Compensation:</b></div><div>
We offer competitive compensation packages for this role, including a base salary, performance-based bonuses, and comprehensive benefits such as health, dental, and vision insurance, 401(k) matching, and paid time off.
</div><div>
</div><div>The compensation range for this role is $81,000 - $103,000 annually depending on experience and qualifications. Additionally, we offer opportunities for career growth and development as well as a supportive and inclusive work environment.</div><div></div><div><b>
Who you are:</b></div><ul><li>
You have a &quot;bring it on!&quot; team player approach and an unshakable positive attitude, always ready to tackle anything that comes your way.</li><li>
Your written and verbal skills are out of this world, and you communicate with clarity and confidence.</li><li>
You have exceptional multitasking skills and an unparalleled attention to detail that ensure the smooth running of everything.</li><li>
You are a master at building relationships, capable of establishing connections with anyone, be it team members, clients, vendors, or suppliers.</li></ul><div><b>
Physical Demands &amp; Work Environment:</b></div><div>
In this dynamic role, expect a blend of regular activities like sitting, standing, and walking, with occasional physically engaging tasks such as lifting objects up to 25 pounds. The work environment might expose you to electrical shocks, toxic chemicals, vibrations, or loud noise levels occasionally. However, reasonable accommodations are available to enable individuals with different abilities to perform effectively, ensuring a supportive and adaptable work setting. Your visual acuity, including close, distance, and color vision, will be essential in navigating through the diverse day-to-day demands of this position.</div></div>

Manager, Data Analytics

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