Vice President of Data Science Resume
Headline : As the Vice President of Data Science responsible for reporting to the COO, ownership of the holistic data strategy for Slack Business Operations is emphasized, leading a team across business insights, data science, and data engineering while strategically partnering with peer data teams in product analytics, experimentation, and analytical tooling.
Skills : Statistical Analysis, Data Visualization
Description :
- Partnered closely with cross-functional stakeholders to provide critical business insights across sales, customer success, product, design, and engineering.
- Led Slacks strategic direction and vision for data science, business analytics, and data engineering functions, building partnerships with functional stakeholders across Sales, Product, Marketing, and Go-To-Market Operations.
- Partnered with senior leadership across all of Salesforce to identify Slacks business challenges and opportunities, and translate them into actionable, integrated, data-driven solutions.
- Oversaw the recruitment, development, and management of a high-performing global team of data scientists, analysts, and data engineers.
- Developed and implemented a robust data governance framework to ensure data quality, security, and compliance
- Designed and built scalable data infrastructure and platforms to support enterprise-wide data needs
- Drove the development and implementation of advanced analytics models and machine learning algorithms to extract valuable insights from data that drive the business forward.
Experience
5-7 Years
Level
Executive
Education
PhD CS
Vice President of Data Science Resume
Summary : As the Vice President of Data Science responsible for communicating complex data analysis and findings effectively to both technical and non-technical audiences.
Skills : Big Data Technologies, Data Strategy Development, Artificial Intelligence
Description :
- Kept abreast of emerging data trends and technologies and championed their adoption within the organization.
- Collaborated with cross-functional teams, including Decision Science, Product, Marketing, and Technology.
- Aligned program strategies with overall business objectives.
- Managed strategic projects from conception to completion, ensuring they meet goals and deliver value.
- Simplified complex concepts for diverse audiences to ensure clarity and engagement.
- Fostered strong relationships with stakeholders across various departments.
- Evaluated the financial implications and potential returns of projects.
Experience
10+ Years
Level
Management
Education
BS Math
Vice President of Data Science Resume
Summary : As the Vice President of Data Science, responsible for promoting strategic initiatives that enhance the performance of the Home Lending division. Supporting the Generative AI team with business analysis and ROI evaluations while advancing the Lead Optimization program.
Skills : Team Leadership, Project Management
Description :
- Analyzed data to uncover trends, forecast outcomes, and provide actionable insights.
- Developed and implemented tools and models to support decision-making processes.
- Provided analytical support to the Generative AI and Lead Optimization team to help develop and refine solutions.
- Managed team execution at scale with ambitious but achievable goal setting, inspiring a sense of urgency, expecting high standards, and leveraging direct reports and team managers.
- Built agility into the organization to go after opportunities shift priorities as needed.
- Upheld key leadership values, lead with why, make it count, own it, choose teamwork.
- Led a team of data scientists and analysts to develop predictive models that improved customer retention rates by over 25% within a year.
Experience
7-10 Years
Level
Consultant
Education
MBA
Vice President of Data Science Resume
Summary : As Vice President of Data Science, the role encompasses leading a team of data scientists and analysts to drive data-driven decision-making across the organization. This position involves developing and implementing advanced analytics strategies, leveraging machine learning and artificial intelligence to extract insights from complex datasets. Collaborating with cross-functional teams, the Vice President ensures that data initiatives align with business objectives, fostering a culture of innovation and continuous improvement. The role also includes overseeing the development of predictive models and data visualization tools to enhance operational efficiency.
Skills : Data Mining, Programming, Business Intelligence
Description :
- Provided strategic direction for product, marketing, people, and operational analytics, as well as all business functions.
- Ensured the company leverages data to drive investments for our product initiatives, optimize performance, innovate, and achieve business goals
- Led, developed, and grew a team of 40 Data Scientists within the product, people, operations, and marketing.
- Elevated the entire product development process through research, goal-setting, and better decision-making.
- Defined opportunities, sized various initiatives, and evaluated the impact of the opportunities on the companys product development roadmap together with senior leaders in product management, engineering, and designuser research.
- Guided the leadership team in setting company-wide goals that inform and support our long-term product strategy.
- Drove critical company-wide initiatives including Data Science infrastructure, product quality, commission plan, sales and marketing effectiveness, and people team initiatives.
Experience
7-10 Years
Level
Senior
Education
MS AI
Vice President of Data Science Resume
Summary : As a Vice President of Data Science responsible for leading the design, development, and implementation of advanced analytical solutions to complex business problems that generate measurable outcomes within PGIM.
Skills : Data Warehousing
Description :
- Developed pragmatic solutions to custom business problems through effective implementation of LLMs, statistical models, and machine learning.
- Designed, supported, and actively guided performing thorough statistical analysis of structured and unstructured data with the ability to bring the right data techniques in an explainable manner to business teams.
- Served as a thought leader to business partners, identifying opportunities to use AI to transform processes to drive business value.
- Led strategic external partnerships to supplement internal capabilities in the execution of parts of the data science development process.
- Responsible for understanding relevant and emerging technologies, giving technical direction to team members, and embedding learning and innovation in the day-to-day.
- Worked on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products, or technologies.
- Developed and grew relationships with PGIM businesses as key stakeholders.
Experience
10+ Years
Level
Management
Education
BS CE
Vice President of Data Science Resume
Summary : In the capacity of Vice President of Data Science, responsibilities include shaping the strategic vision for data analytics within the organization. This involves identifying key business challenges and opportunities where data science can provide significant value. The role requires a deep understanding of statistical methods, data mining techniques, and machine learning algorithms to guide the team in developing robust analytical solutions. Additionally, the Vice President is tasked with mentoring junior data scientists and promoting best practices in data governance and ethical AI usage.
Skills : Collaboration and Communication, Natural Language Processing, Machine Learning, Big Data Technologies
Description :
- Leveraged strong oral and written communication skills to drive business transformation and data science adoption.
- Articulated insights, opportunities, and analytical outcomes clearly and persuasively to audiences at all levels of the organization.
- Contributed to the transformation of the culture at Prudential from a product-centric to a customer-centric orientation, especially by improving the data and analytics environment overall.
- Attracted and nurtured talent to maintain competitive advantage in fast fast-changing data science ecosystem.
- Worked with our India-based Data Engineering team and our Sales and Market Research Teams in the US and UK to ensure cohesive project execution and goal alignment.
- Drove innovation in market research practices, leveraging strong business acumen to provide strategic insights that influence decision-making.
- Served as a point of escalation for managers and directors, driving improvements in project methodologies and tools to enhance efficiency and quality.
Experience
10+ Years
Level
Management
Education
Cert DA
Vice President of Data Science Resume
Summary : As a Vice President of Data Science responsible for designing and implementing innovative data science solutions that address complex business challenges and drive significant value for clients.
Skills : Machine Learning, Ethics in Data Science, Problem Solving, Cloud Computing
Description :
- Managed a team of senior data scientists and directors, ensuring optimal resource allocation and fostering a culture of excellence and continuous improvement.
- Built and nurtured deep client relationships, understanding their strategic objectives, and ensuring the delivery of exceptional insights and solutions that exceed their expectations.
- Provided Team Leadership and Mentorship by leading and guiding a team of 10 data scientists.
- Mentored and developed team members to enhance their skills, knowledge, and capabilities.Oversaw the successful delivery of client projects, ensuring they are completed on time, within budget, and to the highest quality standards.
- Monitored project progress, identify potential risks or issues, and implement appropriate mitigations.
- Collaborated with the sales team on approaches to new business opportunities including scoping and pricing projects, ensuring alignment with client requirements and company goals.
Experience
7-10 Years
Level
Senior
Education
MS Stats
Vice President of Data Science Resume
Summary : The Vice President of Data Science plays a critical role in transforming raw data into actionable insights that drive business growth. This position requires a strong leadership presence to inspire and manage a diverse team of data professionals. Responsibilities include overseeing the design and execution of data science projects, ensuring alignment with organizational goals, and communicating findings to stakeholders. The Vice President also evaluates emerging technologies and methodologies to enhance the data science capabilities of the organization, fostering a data-centric culture.
Skills : Data Visualization, Statistical Analysis, Data Architecture
Description :
- Participated in thought leadership activities, offering insights and guidance on industry trends and research innovations.
- Kept up to date with the latest trends and advancements in Data Science methodologies, tools, and technologies.
- Provided technical guidance and expertise to the team, ensuring the use of best practices and innovative approaches in project execution.
- Contributed to the development and execution of the company's Data Science strategy.
- Identified opportunities for process improvement, innovation, and growth, and provided strategic recommendations to senior management.
- Led the data analytics function, providing strategic direction and managing data infrastructure.
- Drove business intelligence, data science, predictive analytics, and reporting to ensure data is effectively used across the organization.
Experience
10+ Years
Level
Management
Education
BA Econ
Vice President of Data Science Resume
Summary : As Vice President of Data Science, the focus is on harnessing the power of data to inform strategic decisions and optimize business processes. This role involves collaborating with senior leadership to define data strategies that support organizational objectives. The Vice President leads initiatives in predictive analytics, natural language processing, and big data technologies, ensuring that the data science team is equipped with the necessary tools and resources. Additionally, the position requires establishing metrics to measure the impact of data initiatives on business performance.
Skills : Artificial Intelligence, Team Leadership
Description :
- Worked closely with business users across Risk, Marketing, Operations, Decision Management, Finance, and Technology functions to elicit, analyze, and document clear business requirements.
- Interacted, communicated effectively, and built strong working relationships on an ongoing basis with business and technology partners.
- Researched and mapped input sources and fields, source to target mapping, built test strategy and plans, planned, coordinated, and executed validation to ensure the solution delivered meets the business needs.
- Developed a good understanding of organizations data and processes.
- Conducted rigorous and detailed data analysis and research to identify and resolve data discrepancies.
- Developed and recommended forward-thinking solution designs for reporting deliverables and projects.
- Provided thought leadership to Partner teams on data matters including data management, data lineage, data analytics, and data quality.
Experience
7-10 Years
Level
Senior
Education
MS IS
Vice President of Data Science Resume
Summary : In the role of Vice President of Data Science, the emphasis is on driving innovation through data analytics. This position entails overseeing the development of sophisticated algorithms and models that address complex business problems. The Vice President collaborates with product and engineering teams to integrate data science solutions into existing systems, enhancing product offerings and customer experiences. Furthermore, the role includes advocating for data literacy across the organization, ensuring that all employees understand the value of data in their decision-making processes.
Skills : Project Management, Data Strategy Development, Predictive Modeling
Description :
- Performed ad-hoc analysis to provide analytical information to enable the business decision-making process.
- Worked on different data environments like SAS, HadoopBig Data, and Unix and used SQL, and different analytical tools to draw data insights.
- Partnered with teams responsible for developing statistical models and scorecards in several areas including fraud, marketing, credit underwriting, loan pricing, collections, and response targeting
- Led a team of 6-10 experienced individuals, collaborated closely with stakeholders, and invested independent time towards learning, researching, and experimenting with innovations in the field.
- Ensured models were developed and validated to effectively price and issue credit across a wide spectrum of products, including 3rd party offers.
- Responsible for setting agenda for the continuous evolution of tools and innovations including new data sources across use cases for lending and deposits.
- Participated in industry forums to benchmark Lending Club tools, techniques, processes, and strategy performance esp. to provide insight into the use of data.
Experience
10+ Years
Level
Management
Education
PhD CS
