Prepare daily and monthly reconciliations, research and resolve complex aging issues, and manage Accounts Receivable queries to ensure timely resolutions while processing client refunds in accordance with firm policies.

Manage data analytics projects, develop and maintain reporting tools, identify trends for strategic decision-making, and collaborate with departments to support data-driven initiatives and enhance data quality and processes.

Support and maintain critical data workflows and applications, assist in modernizing data integrations, and collaborate with stakeholders to enhance data quality and governance, ensuring effective data-driven practices for organizational objectives.

Manage a portfolio of foundation grants, cultivate donor relationships, and collaborate with internal teams to develop strategies for meeting revenue goals while ensuring timely communication and stewardship of funders.

Conduct outbound prospecting to develop a robust pipeline, qualify inbound leads, and collaborate with Account Executives to create targeted acquisition strategies that align with business objectives and industry trends.

Develop data analytics guides and visualizations, maintain optimal data lakes, and automate data processes while collaborating with stakeholders to enhance data infrastructure and support modernization initiatives.

Provide technical leadership and collaborate across teams to design and maintain modern data pipelines. Analyze customer requirements and implement data engineering solutions leveraging cloud technologies while staying current with industry trends.

Build strong relationships with families, provide health education and support, facilitate access to community services, and document participant interactions to enhance perinatal health outcomes and promote healthy behaviors.

Drive data-derived insights by developing advanced statistical models and machine learning algorithms. Analyze structured and unstructured data while creating visualizations for executive consumption to support project goals and enhance customer...

Build and maintain data pipelines, ensuring quality and integrity. Design scalable data solutions and integrate large datasets from multiple sources to support analytics and AI model development for customer retention and revenue growth.

Collect and process large volumes of structured and unstructured data, build secure and scalable data solutions, and design data storage and movement architectures to support business insights and performance analysis.

Lead the strategy and execution of data engineering initiatives, oversee a global team, and build reusable data products to enhance marketing, sales, and analytics capabilities while ensuring data integrity and quality.

Lead the development of innovative AI solutions and standards, design advanced data-driven processes, and drive enterprise initiatives while collaborating with cross-functional teams to enhance operational efficiency and decision-making across the...

Develop and implement forecasting methods and cloud-based model training processes, deploy models into production, and evaluate their effectiveness through testing on historical data to optimize energy management operations.

Lead a team of data engineers, manage security data assets, drive platform modernization, and establish data quality frameworks to empower data-driven decision-making and enhance operational efficiency across the organization.

Lead the development of AI solutions, design advanced data-driven processes, and drive enterprise initiatives as an AI expert while collaborating with cross-functional partners to ensure alignment and operationalization of AI capabilities.

Analyze data to inform pricing strategies, collaborate with teams to implement pricing processes, monitor performance metrics, and generate reports to enhance revenue opportunities and address profit margin issues.

Develop and communicate a strategic product management vision, conduct market research to identify trends, collaborate with cross-functional teams to prioritize initiatives, and drive the product lifecycle from concept to launch.

Design and implement scalable database structures, manage cloud-based data infrastructure, optimize database performance, and assist in data migration processes to ensure data integrity and accessibility for critical applications.

Develop data infrastructure and pipelines, support database planning, maintain database technologies, and analyze new data sources to ensure performance, scalability, and security while fulfilling customer needs for data accessibility.

Develop and implement forecasting methods and cloud-based model training processes, deploy models into production, and evaluate algorithm effectiveness through testing on historical data to optimize energy management operations.

Oversee data center operations, implement innovative solutions for performance enhancement, ensure compliance with industry standards, and facilitate cross-functional collaboration to achieve strategic program goals and successful execution.

Lead and manage a data engineering team focused on data ingestion, collaborate with cross-functional teams to enhance data practices, and develop strategies for effective data acquisition and governance.

Develop technical solutions for capture strategies and proposals, support program assignments, and leverage expertise in AI/ML, data science, and data engineering to address complex challenges and enhance client experiences.

Manage data lifecycle by building ETL pipelines, designing data models, and creating automated reporting solutions. Collaborate with stakeholders to deliver data-driven insights and continuously improve analytics and BI practices.

Lead the design, implementation, and delivery of analytics products and services. Own the predictive modeling process from ingestion to deployment. Design and evaluate longitudinal experiments and make recommendations based on the findings. Manage a ..

Track acquisition metrics and develop dashboards, perform data analysis to identify schedule requirements, and manage document structures while ensuring continuous improvement in reporting and process standardization.

Drive customer success by guiding strategic clients in accelerating Data Cloud and Agentforce consumption. Develop adoption paths, build executive relationships, and proactively address risks to achieve business objectives and enhance operational...

Lead and deliver strategic data analytics and AI consulting engagements, acting as a trusted advisor to clients while overseeing project teams and ensuring successful execution of data-driven solutions that create business value.

Design and develop data pipelines and database architectures, implement testing strategies, collaborate with stakeholders for data integration, and document findings to enhance system reliability and effectiveness in operational settings.

Provide timely academic advising to undergraduate students, assist with course selections and graduation applications, and support students in establishing educational goals while addressing any personal or academic challenges they may face.

Analyze data characteristics and relationships, recommend solutions for data quality issues, support system development and performance testing, and create interactive dashboards and reports for effective data management and visualization.

Develop data analyses for sales forecasting and customer behavior, extract and transform data using various tools, and create interactive dashboards to provide actionable insights for leadership decision-making.

Administer employee benefits programs, advise on leave policies, manage retirement communications, and ensure compliance with regulations while resolving complex benefits-related issues and conducting educational sessions for staff.

Collaborate with customers to design and validate GIS workflows, develop enterprise database strategies, and configure geodatabase maintenance. Present technical demonstrations and support implementation phases to enhance customer experience.

Lead end to end development life cycle of innovative ML-based enterprise products for complex business problems. Architect and implement AI-enabled data products. Lead team efforts in research, conceptualization and design for new product line.

Develop and maintain custom reports and data visualizations based on stakeholder requirements. Monitor report accuracy and provide training on data interpretation and analytical tools to support clinical teams in evidence-based practices.

Lead and organize complex data analysis tasks, develop innovative technical solutions, manage data collection from diverse sources, and enhance automated workflows utilizing advanced data science methods and programming skills.

Lead the development of innovative ML-based products, architect AI-enabled data solutions, and engage with clients to deliver transformative outcomes while fostering talent and driving complex problem-solving across teams.

Manage data analytics projects and drive data strategy, utilizing advanced tools to deliver impactful reporting. Collaborate with stakeholders to address business challenges and enhance data integrity through innovative solutions.

Guide customers in accelerating their Data Cloud and Agentforce consumption by developing tailored strategies, managing executive relationships, and ensuring seamless integration with existing systems to drive operational excellence and customer...

Collaborate with cross-functional teams to develop customer-centric products, utilize advanced technologies for data analysis, and construct machine learning models to enhance decision-making processes and improve risk management outcomes.

Provide exceptional client service and data analyses within a large-scale enterprise environment, utilizing advanced SQL and Python skills while managing multiple projects and presenting operational metrics to senior management.

Design and implement network architecture, ensuring operability and security. Develop enterprise network infrastructure and support global networks, including advanced technologies like Software Defined Networking and various routing protocols.

Support MLOps processes and build automation pipelines, develop and deploy machine learning models, conduct complex data analysis, and collaborate with team members to ensure high-quality delivery of data science projects.

Design and deploy machine learning models and Generative AI solutions, conduct data extraction and analysis, and optimize data workflows while collaborating with senior data scientists to meet client requirements effectively.

Lead a team to enhance data management processes, provide expertise in project meetings, partner on data governance strategies, and create metrics to measure efficiency and effectiveness in driving process improvements.

Collaborate with cross-functional teams to assess model risks, develop statistical and machine learning models, and contribute to model governance, ensuring effective decision-making and risk management across the organization.

Leverage analytic skills to innovate data solutions, partner with business for insights and visualization, and ensure adherence to data quality principles while managing security and data access governance.