Prudential Ins Co of America
Director, Data Analytics
Prudential Ins Co of America, Newark, New Jersey, us, 07175
Prudential Ins Co of America Director, Data Analytics Newark, New Jersey Apply Now
Job Classification: Technology - Data Analytics & Management Are you passionate about delivering customer-focused solutions? Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability, and efficiency? Our team takes great pride in our culture where digital transformation is built into our DNA! When you join the Global Technology organization at Prudential, you'll unlock an exciting and impactful career all while growing your skills and advancing your profession at one of the world's leading financial services institutions. As a Director, Data Analytics, you will join a team of change agents who specialize in ensuring that data is secure and protected, accessible, understood, of known quality, and can be effectively used in support of business goals. You will consult with business stakeholders to understand business needs/challenges and deliver actionable analytics/insights solutions. Engage with business to answer targeted analytical questions and generate insights from data. Analyze large data sets (structured, unstructured) to identify insights and patterns/trends using a variety of analytical techniques (descriptive, diagnostic, prescriptive). Develop presentations and other deliverables to synthesize and communicate key insights and advise with recommendations to drive business outcomes. Here is what you can expect on a typical day: Deliver and execute on vision and strategy and communicate success stories effectively to key stakeholders, the team, and enterprise. Identify and advise on opportunities to leverage data analytics solutions in existing portfolio and expand in new areas to drive significant business outcomes. Consult and communicate effectively and consistently with business partners to proactively identify needs, prioritize, and deliver solutions. Demonstrate thought leadership and expertise across Data Analytics disciplines. Present solutions and influence executive leadership from different business units and functions to generate excitement and gain consensus. Develop and oversee initiative/program roadmaps ensuring that measurable OKRs, milestones, resource plans (human and technical), and ROIs that represent ongoing impact and value. Deliver a portfolio of initiatives ensuring the strategic direction and outcomes of the businesses are reflected in the execution of these initiatives. Understand the data and insights consumption patterns and develop best-in-class solutions across the enterprise. Ensure customer-driven solutions & usability test results while leveraging industry knowledge. Identify new tools and techniques to solve complex business challenges. Identify, hire, train, and retain talent with critical technical and business experience required to execute each initiative/capability. Develop/maintain/motivate a high performing team. The Skills & Expertise You Bring: Bachelor of Computer Science or Engineering; Analytics; or experience in related fields. Ability to lead independently with minimal guidance and effectively leverage diverse ideas, experiences, thoughts, and perspectives to the benefit of the organization. Deep knowledge of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business. Data Analytics & Insights: Analyzing structured and unstructured data to identify insights, patterns, discrepancies, anomalies, and business trends; Integration of data from disparate sources (internal/external); Ability to synthesize results and make business recommendations. Statistics and Computing: Strong knowledge of Probability, Statistics, Mathematics, Computer Science. Data Visualization: Working knowledge of using data visualization tools: Tableau, Power BI, Metric Insights, Excel. Data Wrangling: Preparing data for further analysis; Transforming and mapping raw data to generate insights; Processing of large datasets (structured, unstructured); Data wrangling through DataRobot or programming/coding: Python, SQL, SAS, R, etc. Database Management System: Understanding and knowledge of big data tools: Hadoop, Spark, Hive; Understanding and knowledge of cloud technology: AWS services. Significant experience and/or deep expertise with several of the following: Effective Communication, Decision-Making & Critical Thinking, Interpersonal Relationships, Agile Methodologies, Data Storytelling, Consultative Skills. You’ll Love... Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity
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Job Classification: Technology - Data Analytics & Management Are you passionate about delivering customer-focused solutions? Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability, and efficiency? Our team takes great pride in our culture where digital transformation is built into our DNA! When you join the Global Technology organization at Prudential, you'll unlock an exciting and impactful career all while growing your skills and advancing your profession at one of the world's leading financial services institutions. As a Director, Data Analytics, you will join a team of change agents who specialize in ensuring that data is secure and protected, accessible, understood, of known quality, and can be effectively used in support of business goals. You will consult with business stakeholders to understand business needs/challenges and deliver actionable analytics/insights solutions. Engage with business to answer targeted analytical questions and generate insights from data. Analyze large data sets (structured, unstructured) to identify insights and patterns/trends using a variety of analytical techniques (descriptive, diagnostic, prescriptive). Develop presentations and other deliverables to synthesize and communicate key insights and advise with recommendations to drive business outcomes. Here is what you can expect on a typical day: Deliver and execute on vision and strategy and communicate success stories effectively to key stakeholders, the team, and enterprise. Identify and advise on opportunities to leverage data analytics solutions in existing portfolio and expand in new areas to drive significant business outcomes. Consult and communicate effectively and consistently with business partners to proactively identify needs, prioritize, and deliver solutions. Demonstrate thought leadership and expertise across Data Analytics disciplines. Present solutions and influence executive leadership from different business units and functions to generate excitement and gain consensus. Develop and oversee initiative/program roadmaps ensuring that measurable OKRs, milestones, resource plans (human and technical), and ROIs that represent ongoing impact and value. Deliver a portfolio of initiatives ensuring the strategic direction and outcomes of the businesses are reflected in the execution of these initiatives. Understand the data and insights consumption patterns and develop best-in-class solutions across the enterprise. Ensure customer-driven solutions & usability test results while leveraging industry knowledge. Identify new tools and techniques to solve complex business challenges. Identify, hire, train, and retain talent with critical technical and business experience required to execute each initiative/capability. Develop/maintain/motivate a high performing team. The Skills & Expertise You Bring: Bachelor of Computer Science or Engineering; Analytics; or experience in related fields. Ability to lead independently with minimal guidance and effectively leverage diverse ideas, experiences, thoughts, and perspectives to the benefit of the organization. Deep knowledge of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business. Data Analytics & Insights: Analyzing structured and unstructured data to identify insights, patterns, discrepancies, anomalies, and business trends; Integration of data from disparate sources (internal/external); Ability to synthesize results and make business recommendations. Statistics and Computing: Strong knowledge of Probability, Statistics, Mathematics, Computer Science. Data Visualization: Working knowledge of using data visualization tools: Tableau, Power BI, Metric Insights, Excel. Data Wrangling: Preparing data for further analysis; Transforming and mapping raw data to generate insights; Processing of large datasets (structured, unstructured); Data wrangling through DataRobot or programming/coding: Python, SQL, SAS, R, etc. Database Management System: Understanding and knowledge of big data tools: Hadoop, Spark, Hive; Understanding and knowledge of cloud technology: AWS services. Significant experience and/or deep expertise with several of the following: Effective Communication, Decision-Making & Critical Thinking, Interpersonal Relationships, Agile Methodologies, Data Storytelling, Consultative Skills. You’ll Love... Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity
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