associate director data & analytics

Deloitte

<div></div><div><div><div><div><div>Job requisition ID :: 86810
</div></div></div></div><div><div><div><div>Date: Sep 4, 2025
</div></div></div></div><div><div><div><div>Location: Delhi
</div></div></div></div><div><div><div><div>Designation: Associate Director
</div></div></div></div><div><div><div><div>Entity: Deloitte Touche Tohmatsu India LLP
</div></div></div></div><div><div><div><div><p>Predictive analytics experience - Python</p><p>
Data Science, AI/ML, Deep Learning</p><p>
Immediately available, Delhi Location</p><p>
Manufacturing industry experience</p></div></div></div></div></div><p></p>

Associate Director | AI / ML | Delhi | Engineering

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Associate Director, Data Science
  <br/>
  <br/>
 </strong>
 As an Associate Director in Data Science Market Activation , you will be focused to lead our data science team and drive the development and implementation of innovative data-driven strategies. This role is critical to shaping our data science initiatives, building advanced analytical models, and collaborating cross-functionally to enhance decision-making processes across the organization.
 <br/>
 <br/>
 Associate Director is expected to lead a function of data scientist. Is accountable for business delivery, growth, value realization and strategy. Availability in office is MUST and Expected to lead on below aspects.
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 <strong>
  Roles And Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Functional R&amp;R
  </li>
  <li>
   Be thought leader to our Business Engagement Leads and Marketing team to understand the business problem and provide consultative and analytical solution
  </li>
  <li>
   Should have strong understanding of Pharma healthcare industry and therapy knowledge
  </li>
  <li>
   Design &amp; build predictive models to forecast patient outcomes, such as readmission risk, disease progression, or response to treatment, enabling proactive care management.
  </li>
  <li>
   Strong subject matter expertise in Data Science and Statistical Models, Experience to drive patient, HCP, Payer and Consumer related analytics. Strong hands on with US datasets, IQVIA, Komodo, Epsilon, McKesson and others. MUST have experience in new launch analytics and GTM strategy.
  </li>
  <li>
   Identify &amp; define HCP segmentation and targeting, micro segmentation by content, call planning
  </li>
  <li>
   Analyze longitudinal healthcare data to track patient journeys over time, providing insights into disease progression and treatment efficacy.
  </li>
  <li>
   Ensure data solutions are interoperable across different healthcare systems and platforms, facilitating seamless data exchange and collaboration.
  </li>
  <li>
   Collaborate with data engineering, data science &amp; IT teams to deliver business friendly dashboard &amp; reporting solutions
  </li>
  <li>
   Evaluate the effectiveness of treatments and interventions by analyzing patient outcomes data to inform clinical decision-making and improve care quality
  </li>
  <li>
   Should be hands on with Python, SQL, Databricks, Dataiku and other platforms. Should have product mindset to build process and analytical solution as enterprise products
  </li>
  <li>
   Provide thought leadership and data science best practices to the broader Data &amp; Analytics organization
  </li>
  <li>
   Provide training &amp; coaching to internal stakeholders to enable a self-service operating model
  </li>
  <li>
   Co-create information governance &amp; apply data privacy best practices to solutions
  </li>
  <li>
   Continuously innovative on best practices &amp; technologies by reviewing external resources &amp; marketplace
  </li>
  <li>
   People Management R&amp;R
  </li>
  <li>
  </li>
  <li>
   Leadership Provide leadership, guidance, and mentorship to Senior Managers and Managers of analysts and data scientists. and create opportunities for professional growth.
  </li>
  <li>
  </li>
  <li>
   Team Culture Foster a collaborative and inclusive team environment, encouraging knowledge sharing and professional growth, timely connect with associates and respect for opinion from all.
  </li>
  <li>
  </li>
  <li>
   Recruitment Participate in the recruitment process by identifying talent needs, interviewing candidates, and making hiring decisions.
  </li>
  <li>
  </li>
  <li>
   Capability Building Develop training programs and initiatives to enhance the skills and capabilities of team members in alignment to their career aspiration and organizational demand and scalability.
  </li>
  <li>
  </li>
  <li>
   Performance Management Set clear performance expectations, conduct regular performance evaluations, and provide timely feedback to team members being assertive and clear.
  </li>
  <li>
  </li>
  <li>
   Career Development Work with team members to define career goals and create development plans to support their advancement within the organization in alignment with their aspirations.
  </li>
  <li>
  </li>
  <li>
   Cross-functional Collaboration Collaborate with other departments and teams to ensure alignment on analytics initiatives and projects
  </li>
  <li>
  </li>
  <li>
   Recognize Talent Create platform for talent showcasing and visibility. Reward and recognizing for their contributions
  </li>
  <li>
  </li>
  <li>
   People Engagement Engage with team members, create speak up and cohesive culture
  </li>
  <li>
   Business Management R&amp;R
  </li>
  <li>
  </li>
  <li>
   Strategy Development Contribute to the development of the analytics strategy aligned with the overall business objectives.
  </li>
  <li>
  </li>
  <li>
   Project Management Oversee the planning demand, execution, and delivery of analytics projects, ensuring they are completed on time and within budget.
  </li>
  <li>
  </li>
  <li>
   Insights Delivery Ensure the delivery of actionable insights and recommendations to key stakeholders to drive business decisions.
  </li>
  <li>
  </li>
  <li>
   Data Governance Establish and enforce data governance policies and procedures to ensure data quality, integrity, and security.
  </li>
  <li>
  </li>
  <li>
   Performance Measurement Define key performance indicators (KPIs) and metrics to measure the effectiveness of analytics initiatives and track progress against business goals. Measure P&amp;L of the function.
  </li>
  <li>
  </li>
  <li>
   Continuous Improvement Identify opportunities for process optimization and efficiency gains within the analytics function.
  </li>
  <li>
  </li>
  <li>
   Risk Management Identify and mitigate risks associated with analytics projects, such as data privacy and security risks.
  </li>
  <li>
   Organization R&amp;R
  </li>
  <li>
  </li>
  <li>
   Organization Vision Understand organization and leadership to map team strategy accordingly.
  </li>
  <li>
  </li>
  <li>
   Stakeholder Engagement Build and maintain relationships with key stakeholders across the organization to understand their analytics needs and priorities. Brand HHDDA services and support to help them scale business initiatives.
  </li>
  <li>
  </li>
  <li>
   Resource Allocation Allocate resources effectively to prioritize and support high-impact analytics projects.
  </li>
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  </li>
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   Budget Management Develop and manage the analytics budget, ensuring resources are allocated efficiently and cost-effectively.
  </li>
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  </li>
  <li>
   Communication Communicate analytics findings, insights, and recommendations effectively to non-technical stakeholders in a clear and concise manner.
  </li>
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  </li>
  <li>
   Change Management Lead change management efforts related to the adoption of analytics tools, processes, and methodologies within the organization.
  </li>
  <li>
  </li>
  <li>
   Compliance Ensure compliance with relevant regulations and industry standards related to data analytics and privacy.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
  </li>
  <li>
   12+ years relevant experience in data Science, consulting, analytics and data modelling with storytelling and people management
  </li>
  <li>
  </li>
  <li>
   Working experience and knowledge in pharma dataset leveraging, Python, SQL, DataBricks DataIKU and other data science technologies
  </li>
  <li>
  </li>
  <li>
   Working experience and knowledge in ETL process, data modeling techniques &amp; platforms
  </li>
  <li>
  </li>
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   Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) &amp; data processing languages (SQL, Python, R, etc.)
  </li>
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  </li>
  <li>
   Experience in leveraging and managing third party vendors and contractors
  </li>
  <li>
  </li>
  <li>
   Self-motivation, proactivity, and ability to work independently with minimum direction
  </li>
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  </li>
  <li>
   Excellent interpersonal and communication skills
  </li>
  <li>
  </li>
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   Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively
  </li>
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  </li>
  <li>
   Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity
  </li>
  <li>
  </li>
  <li>
   Experience in Pharma and or Biotech Industry is a plus
   <br/>
   <br/>
  </li>
 </ul>
 Our Human Health Division maintains a &ldquo;patient first, profits later&rdquo; ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide.
 <br/>
 <br/>
 We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another&rsquo;s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.
 <br/>
 <br/>
 Current Employees apply HERE
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 <br/>
 Current Contingent Workers apply HERE
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 <strong>
  Search Firm Representatives Please Read Carefully
  <br/>
  <br/>
 </strong>
 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.
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 <br/>
 <strong>
  Employee Status
  <br/>
  <br/>
 </strong>
 Regular
 <br/>
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 <strong>
  Relocation
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  <br/>
 </strong>
 <strong>
  VISA Sponsorship
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  <br/>
 </strong>
 <strong>
  Travel Requirements
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  <br/>
 </strong>
 <strong>
  Flexible Work Arrangements
  <br/>
  <br/>
 </strong>
 Not Applicable
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 <strong>
  Shift
  <br/>
  <br/>
 </strong>
 <strong>
  Valid Driving License
  <br/>
  <br/>
 </strong>
 <strong>
  Hazardous Material(s)
  <br/>
  <br/>
 </strong>
 <strong>
  Required Skills
  <br/>
  <br/>
 </strong>
 Analytics Strategy, Business Intelligence (BI), Business Management, Communication, Database Design, Data Engineering, Data Governance, Data Modeling, Data Science, Data Visualization, Key Performance Indicators (KPI), Machine Learning, Management Process, Marketing, Organizational Performance Management, People Management, Performance Measurement, Project Management, Resource Allocation, Self Motivation, Software Development, Stakeholder Engagement, Stakeholder Relationship Management, Waterfall Model
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 <strong>
  Preferred Skills
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 </strong>
 <strong>
  Job Posting End Date
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 </strong>
 09/30/2025
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 <ul>
  <li>
   A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requisition ID
 </strong>
 R365230
</div>


Assoc. Dir, Data Science Market Activation

Novartis

<div><div><h3 class="jobSectionHeader"><b>Summary
</b></h3><div>The Associate Director, ERC Data Strategy and EDM Change Manager will be responsible for overseeing and guid-ing the data strategy, fostering data literacy within ERC, and ensuring the smooth operationalization of changes related to data initiatives. Reporting to the Head ERC Transparency and Data Management, the role ensures that data and change management strategies are aligned with business objectives. The Associate Director, ERC Data Strategy and Change Manager will collaborate with various ERC Teams to enhance data management practices and to support the adoption of enterprise-wide data standards.</div>
</div><div><h3 class="jobSectionHeader"><b>About the Role
</b></h3><div><p><b>Responsibilities:</b></p><ul><li>
Lead the deployment and adoption of the <b>ERC Data Strategy Playbook</b>, ensuring alignment with ERC priorities and enterprise objectives.</li><li>
Monitor the execution of the strategy, identifying key performance indicators (KPIs) to measure success and continuously improve outcomes.</li><li>
Partner with <b>Data Owners</b>, <b>Data Quality Managers</b>, <b>Data Stewards</b>, and other stakeholders to achieve alignment on data governance goals and initiatives.</li><li>
Act as a bridge between technical teams (Data Architects, Analysts) and business functions to ensure data strategy supports operational and strategic needs.</li><li>
Ensure seamless integration of <b>data strategy</b>, <b>data architecture</b>, and <b>data models</b> to address current and future business requirements in partnership with Data Architects.</li><li>
Identify gaps between data practices and business outcomes and recommend actionable solutions.</li><li>
Design and implement a <b>change management framework</b> to support data-related transformations, fostering adoption across global, cross-functional teams.</li><li>
Create a roadmap for managing resistance and embedding data change within the ERC&rsquo;s culture.</li></ul><p></p><p><b>
Essentials Requirement</b></p><ul><li>
Master's or bachelor's degree in data Analytics, Data Science, Business, or Engineering is required; an MBA from a reputed institute is preferred.</li><li>
15+ years of experience in Data Analytics or related fields, with specific experience in producing insights for senior management and building statistical models to address business issues.</li><li>
Experience in Risk or Compliance Analytics in the Pharma or Life Sciences industry is preferred.</li><li>
Demonstrated experience in designing and delivering insights using AWS, Snowflake, Databricks, and Python libraries for industrialized analytics solutions leveraging statistical models, AI/ML, including GenAI. Proven experience with web analytics tools such as Google Analytics on user insights to identify improvement opportunities.</li><li>
Ability to work with a multi-functional and multi-national team in a matrix environment.</li></ul></div><p></p>
</div><div><div><p><b>Why Novartis:</b> Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture</p><p><b>
Join our Novartis Network:</b> Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network</p><p><b>
Benefits and Rewards:</b> Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards</p></div></div></div>
<br><div><div>Division
<div>Ethics Risk &amp; Compliance
</div></div><div>Business Unit
<div>Corporate
</div></div><div>Location
<div>India
</div></div><div>Site
<div>Hyderabad (Office)
</div></div><div>Company / Legal Entity
<div>IN10 (FCRS = IN010) Novartis Healthcare Private Limited
</div></div><div>Functional Area
<div>Legal &amp; Intellectual Property &amp; Compl.
</div></div><div>Job Type
<div>Full time
</div></div><div>Employment Type
<div>Regular
</div></div><div>Shift Work
<div>No
</div></div><div>
</div><div><h3 class="jobSectionHeader"><b>Accessibility and accommodation</b></h3><p>
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.</p>
</div><div><p>Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.</p></div></div><div></div>

Associate Director, Data Strategy and Change Management

Lendo

<div><p>As Lendo continues to scale, we&rsquo;re seeking a proactive and analytical Associate Director to strengthen our institutional investor relationships and support financing strategies. In this role, you&rsquo;ll play a key part in capital-raising efforts by engaging with banks, asset managers, sovereign wealth funds, and other institutional partners.</p><p><b><br>
Key</b> <b>Responsibilities:</b></p><p></p><p><b><br>
Investor Coverage &amp; Financing Partnerships</b></p><ul><li><p>
Support in developing and executing capital-raising strategies targeting institutional investors, banks, asset managers, and sovereign wealth funds.</p></li><li><p>
Manage day-to-day investor engagement: preparing presentations, performance updates, and responding to due diligence requests.</p></li><li><p>
Assist in structuring and negotiating financing transactions (warehouse lines, sukuk issuances, securitizations, mezzanine facilities).</p></li><li><p>
Guide investors through the full cycle: from initial engagement to documentation, legalization, and contract signing.</p></li></ul><p><b>
Transaction Execution &amp; Risk Oversight</b></p><ul><li><p>
Coordinate with legal, compliance, credit and operations teams to ensure smooth transaction execution.</p></li><li><p>
Monitor covenant compliance, investor reporting obligations, and risk retention requirements.</p></li><li><p>
Ensure activities align with CMA, SAMA, and international standards while respecting Shariah-compliant frameworks.</p></li></ul><p><b>
Data Analysis &amp; Financial Insights</b></p><ul><li><p>
Leverage financial and market data to support investor discussions and decision-making.</p></li><li><p>
Build, analyze, and present data dashboards and reports using Excel, Power BI, and Tableau.</p></li><li><p>
Monitor investment performance, trends, and industry benchmarks (particularly in the mining and related sectors) to inform both internal strategy and external communications.</p></li></ul><p></p><p><b>
Qualifications:</b></p><p></p><ul><li><p>
4&ndash;10 years of experience in structured finance, investment banking, asset management, or fintech financing.</p></li><li><p>
Strong background in financial modeling, portfolio analysis, and transaction analytics.</p></li><li><p>
Solid understanding of sukuk, securitization, and alternative credit structures.</p></li><li><p>
Demonstrated ability to engage with institutional investors and present complex financial information clearly.</p></li><li><p>
Proficiency in Excel, SQL/Python, or BI tools for data analysis and reporting.</p></li><li><p>
Bachelor&rsquo;s degree in Finance, Economics, or related field; CFA or FRM preferred.</p></li><li><p>
Arabic language skills a plus, but not required.</p></li></ul></div>

Associate Director - Institutional Investor Relations & Financing Analytics

Circle K

<div><p><b>Job Description</b></p><p>
Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. The India Data &amp; Analytics Global Capability Centre is an integral part of ACT&rsquo;s Global Data &amp; Analytics Team and the Associate Data Scientist will be a key player on this team that will help grow analytics globally at ACT.</p><p></p><p><b><i>
About the Role
</i></b></p><p>The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables.</p><p></p><p><b><i>
Responsibilities</i></b></p><ul><li><p>
Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business</p></li><li><p>
Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data</p></li><li><p>
Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions</p></li><li><p>
Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data</p></li><li><p>
Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to previously undefined problems</p></li><li><p>
Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines, and data workflows to automate dashboards and analyses</p></li><li><p>
Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats</p></li></ul><p></p><p><b><i>
Qualifications and experience</i></b></p><ul><li><p>
Bachelor&rsquo;s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)</p></li><li><p>
Master&rsquo;s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)</p></li><li><p>
1&ndash;2 years of relevant working experience in a data science/advanced analytics role
</p></li><li><p>Knowledge of Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics)</p></li><li><p>
Knowledge and ability to conduct statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies</p></li><li><p>
Knowledge of business intelligence &amp; reporting (Power BI, Tableau, Alteryx, etc.)</p></li><li><p>
Knowledge of Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational database management systems and Data Engineering tools</p></li><li><p>
Knowledge and ability to use Big data technologies (Hadoop, Spark, Kafka, Presto etc) and Cloud computing services in Azure/AWS/GCP for data engineering, ML Ops</p></li><li><p>
Ability to delivery, strong disposition towards business and strong interpersonal communication</p></li><li><p>
Individual must be organized, dependable, able to multi-task and manage priorities, display initiative, and must have the ability to work independently in a demanding, fast-paced environment.</p></li></ul><p></p><p>
#LI-DS1</p></div>

Associate Data Scientist - Enterprise & Reporting

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. The India Data &amp; Analytics Global Capability Centre is an integral part of ACT&rsquo;s Global Data &amp; Analytics Team and the Associate Data Scientist will be a key player on this team that will help grow analytics globally at ACT.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business
  </li>
  <li>
   Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data
  </li>
  <li>
   Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions
  </li>
  <li>
   Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data
  </li>
  <li>
   Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to previously undefined problems
  </li>
  <li>
   Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines, and data workflows to automate dashboards and analyses
  </li>
  <li>
   Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
  </li>
  <li>
   Master&rsquo;s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
  </li>
  <li>
   1&ndash;2 years of relevant working experience in a data science/advanced analytics role
  </li>
  <li>
   Knowledge of Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics)
  </li>
  <li>
   Knowledge and ability to conduct statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies
  </li>
  <li>
   Knowledge of business intelligence &amp; reporting (Power BI, Tableau, Alteryx, etc.)
  </li>
  <li>
   Knowledge of Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational database management systems and Data Engineering tools
  </li>
  <li>
   Knowledge and ability to use Big data technologies (Hadoop, Spark, Kafka, Presto etc) and Cloud computing services in Azure/AWS/GCP for data engineering, ML Ops
  </li>
  <li>
   Ability to delivery, strong disposition towards business and strong interpersonal communication
  </li>
  <li>
   Individual must be organized, dependable, able to multi-task and manage priorities, display initiative, and must have the ability to work independently in a demanding, fast-paced environment.
   <br/>
   <br/>
  </li>
 </ul>
</div>


Stony Brook University

<div><div><p><b>Associate Director of Data, Registration &amp; Billing</b></p></div><div><p><b><br>
Required Qualifications (as evidenced by an attached resume):</b><br>
Bachelor&rsquo;s degree (foreign equivalent or higher). Three (3) years of full-time relevant experience. Knowledge of National Alliance of Concurrent Enrollment Partnerships accreditation standards.<br>
<br>
<b>Preferred Qualifications:</b><br>
Master&rsquo;s degree (foreign equivalent or higher). Five (5) years relevant work experience. Experience with data management in an education setting. Operational experience with dual/concurrent enrollment. Experience with K-16 initiatives. Experience working with a NACEP - accredited program. Experience with enrollment software.<br>
<br>
<b>Brief Description of Duties:</b><br>
The Associate Director of Data, Registration &amp; Billing is responsible for managing the dual and concurrent enrollment student registration and billing processes for the Accelerated College Experience (ACE) program at Stony Brook University (SBU), and for tracking, maintaining, and reporting all program data to key stakeholders including SBU, the State University of New York (SUNY), National Alliance of Concurrent Enrollment Partnerships (NACEP), and ACE partner high schools. This position reports to the Director of SBU&rsquo;s ACE program and works closely with SBU colleagues in the Registrar&rsquo;s office, Bursar&rsquo;s office, Division of Information Technology (DOIT), and Office of Institutional Research, Planning, and Effectiveness. Excellent organizational, administrative, communication, decision making, critical thinking, and analytical skills are vital to this role.</p><p><b><br>
Duties:</b></p><p><b>
Campus Liaison:</b></p><ul><li><p>
Serve as a liaison between the ACE Office and other SBU offices needed for processes related to registration, billing, and data management.</p></li><li><p>
Develop and maintain a database inclusive of all relevant program data and collaborate with colleagues in the Office of Institutional Research, Planning, and Effectiveness to develop data visualization templates in Tableau.</p></li></ul><p><b>
Data Management &amp; Data Integrity:</b></p><ul><li><p>
Collaborate with key stakeholders to ensure information in the database is timely and accurate (ex: active high schools, site coordinators, ACE courses and instructors, faculty liaisons).</p></li><li><p>
Develop and maintain queries to track information related to program practices, with particular focus on activities related to adherence to NACEP quality and accreditation standards (ex: faculty site visits, teacher attendance at events, compliance with standards).</p></li><li><p>
Develop internal processes related to data collection, data recording for all stakeholders.</p></li><li><p>
Manage and coordinate changes, updates, and integrations with new and/or existing systems.</p></li></ul><p><b>
Reporting:</b></p><ul><li><p>
Provide support to the ACE Director to disseminate enrollment and revenue data, and to evaluate program effectiveness through the collection and analysis of program data.</p></li><li><p>
Prepare revenue reports for the ACE Director and Senior Director of Finance for Continuing, Professional, and Online Education.</p></li><li><p>
Work with CPOE Finance &amp; Operations team to validate and reconcile revenue budget to actuals.</p></li></ul><p><b>
Other duties or projects</b> as appropriate to rank and departmental mission.</p><div><b><br>
Special Notes:</b><br>
This is a full-time appointment. FLSA Exempt position, not eligible for the overtime provisions of the FLSA. Minimum salary threshold must be met to maintain FLSA exemption.<br>
<br>
In addition to the employee's base salary, this position is eligible for $4000 UUP annual location pay, paid biweekly.<br>
<br>
For this position, we are unable to sponsor candidates for work visas.<br>
<br>
Resume/CV and cover letter should be included with the online application.<br>
<br>
<b><i>Stony Brook University is committed to excellence in diversity and the creation of an inclusive learning, and working environment. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information, veteran status and all other protected classes under federal or state laws.</i></b><br>
<br>
If you need a disability-related accommodation, please call the university Office of Equity and Access (OEA) at (631) 632-6280 or visit OEA.<br>
<br>
<i>In accordance with the Title II Crime Awareness and Security Act</i> a <i>copy of our crime statistics can be viewed</i><i> </i><i>here</i><i>.</i><br>
<br>
Visit our <b>WHY WORK HERE</b> page to learn about the <b>total rewards</b> we offer.<br>
<br>
 #LI-TG1</div><p></p><div><br>
</div></div><div>
Job Number: 2502892</div><div><b>
Official Job Title</b><b>:</b> Senior Staff Assistant</div><div><b>
Job Field</b><b>:</b> Administrative &amp; Professional (non-Clinical)</div><div><b>
Primary Location</b><b>:</b> US-NY-Stony Brook</div><div><b>
Department/Hiring Area</b><b>:</b> Continuing Professional &amp; Executive Education</div><div><b>
Schedule</b><b>:</b> Full-time <b>Shift</b> <b>:</b>Day Shift <b>Shift Hours</b><b>:</b> 37.50</div><div><b>
Posting Start Date</b><b>:</b> Sep 4, 2025</div><div><b>
Posting End Date</b><b>:</b> Sep 18, 2025, 10:59:00 PM</div><div><b>
Salary</b><b>:</b>86,000 - 92,000</div><div><b>
Appointment Type</b><b>:</b> Permanent</div><div><b>
Salary Grade</b><b>:</b>SL3</div><div><b>
SBU Area</b><b>:</b>Stony Brook University</div></div>

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