Organization Overview: Chief Executives for Corporate Purpose (CECP) is a CEO-led coalition that believes that a company’s social strategy — how it engages with key stakeholders including employees, communities, investors, and customers —determines company success. Founded in 1999 by actor and philanthropist Paul Newman and other business leaders to create a better world through business, CECP has grown to a movement of more than 200 of the world’s largest companies that represent $6.6 trillion in revenues, $21.2 billion in social investment, 14 million employees, 23 million hours of employee engagement, and $15 trillion in assets under management. CECP helps companies transform their social strategy by providing customized connections and networking, counsel and support, benchmarking and trends, and awareness building and recognition. Position Overview: Senior Associate, Data Insights will advance CECP's CEO Force for Good movement in CECP’s Data Insights practice by maintaining data excellence, building digital delivery, and growing CECP’s technological and research capacity. Position reports to Senior Manager, Data Insights. Responsibilities: Coordinate and execute data collection: Implement the Giving in Numbers Survey, industry’s premiere questionnaire on corporate social investment, leading all stages of data collection including question development and cross-team input process, data cleansing, and ongoing oversight of survey instrument Execute new data collection on timely topics and in support of growth areas Collaborate with Company Services team on data collection outreach and requests Strengthen crucial dataset and assist with research and data analysis. Support production of annual releases and ad-hoc research, data, analysis and survey projects across the CECP team Deliver digital data insights. Capitalize on existing data visualization platforms as well as custom-built system for CECP companies; opportunity to continually explore new tools; ensure data is delivered with strong attention to data security Support growth and maintenance of CECP’s Valuation Guidance . Maintain materials, answer company questions, conduct landscape analysis, expand Guidance for growth, and provide trainings Contribute to advisory services. Support group (Accelerate Communities, Roundtables) and one-on-one engagements to advance companies’ using measurement as a tool to achieve success Support database management and governance. Support accurate syncing across data storage platforms with a strong attention to detail and data security Qualifications: 2-5 years of relevant data collection, survey, analysis, and/or research experience in corporate/private sector or public sector/nonprofit sector; Undergraduate degree required; MBA, MPA, or other advanced degree a plus; Advanced expertise in Microsoft Excel; experience with back-end and front-end of cloud-based data collection and business intelligence tools; experience project managing and speaking the language of technology vendors/engineers;   Past experience in the technical skills to sync data between source and database (e.g. SQL coding/programming) is preferred but not required. Commitment to excellence and accuracy, with a high-level of attention to detail and excellent written, interpersonal skills; Passion for business’ role in society; knowledge of key areas in corporate social responsibility Ability to work from New York City office required (at least 3 days/week); remote work available on other days CECP is an Equal Opportunity Employer. CECP cannot support candidates lacking proper authorization to work in United States. CECP provides competitive compensation and benefits with bonus potential. To Apply: Please click the "Apply Now" button on this page to send a resume and thoughtful cover letter, outlining how your skills and experience meet the qualifications of the position and stating how you heard about this opportunity, to Human Resources. Applications will be reviewed on a rolling basis. No phone calls, please.  

We’re passionate about food and driven by data. Do you want to impact our future through data, analytics and innovative technology? Do you thrive on leading big things and making it happen? Bring your passion, expertise and problem-solving skills to the table and make an impact. General Mills is reshaping the future, and technology & data play an important role for us. Your technology experience will help us get the right data and solutions at the right time, every time. As one of the world’s leading food companies, General Mills operates across the globe with more than 100 recognizable consumer brands, including: Cheerios, LÄRABAR, Pillsbury, Yoplait, Annie’s Homegrown, Totino’s, Epic Provisions and Blue Buffalo. WHAT YOU’LL DO: AI Governance aims to realize organizational value through focusing on effective and efficient analytic process to build & usage of analytic capabilities & solutions. It focuses on the process of consuming & deriving insights from data rather than the creation and storage of data. The AI Governance role drives discovery, execution and standards around operational analytic governance. The AI governance role will provide leadership, strategic decision making and guidance within analytic governance included partnering with the technical executional resource to understand and solve unique and complex problems as well as partnering with the broader organization to ensure best practice sharing & adherence of standards. You will interface with the Global Data Governance organization to ensure consistency across Data & Analytic Governance where applicable as well as have a stance on the appropriate technologies to support Analytic Governance to realize our technical & commercial teams’ needs. In this role, you will: Design end to end analytic framework, including overall architecture, capabilities, platforms, tools & governing processes Establish & define metrics around gauging analytic health of organization Consult & communicate positioning/go-forward strategies for analytic governance tools/capabilities Communicate governance standards & framework to ensure alignment to enterprise guidelines for security, auditability, data governance, metadata management, etc. Define/improve governance best practices, guidelines & integration with enterprise solutions Review analytic solutions for re-usability, scalability, synergy opportunities & alignment to defined best practices & guidelines Monitor technology trends & participates in discovery of any new tools/capabilities of interest Benchmark Analytic Governance with Industry analysts and other companies Lead Analytic Governance committee/steering team to ensure cross-functional exposure & adherence WHO YOU ARE: Bachelor’s degree 10 years demonstrating a high degree of proficiency in designing and developing complex, high-quality analytic solutions 5 or more years in an Analytic Governance role process-mapping, detailed frameworks, best practices and governance guidelines A proven track record of delivering scalable, resource intensive, integrated and operational analytic solution; Experience creating roadmaps & process diagrams Hands-on experience working with enterprise scale data projects including Big Data, Data Science & BI Reporting Experience in Agile Development, with specific Solution Architect preferred (understanding of end-to-end implementation of a technology Solution) Ability to phase the delivery of analytic solutions such that it can meet immediate needs, while building towards the long-term strategic solution Strong communication skills with ability to communicate complex technical concepts in a digestible way Ability to effortlessly switch gears from summary view for leadership to hands-on discussion with practitioners WHAT’S NICE TO HAVE: Cloud analytics platform experience preferred Six sigma certification preferred

WHAT YOU’LL DO  As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.  In this role you will:  Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.  Solve complex data problems to deliver insights that helps our business to achieve their goals  Create data products for analytics and data scientist team members to improve their productivity  Advise, consult, mentor and coach other data and analytic professionals on data standards and practices  Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions  Lead evaluation, implementation and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team  Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes  Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.  Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics WHO YOU ARE  Bachelor’s Degree  5 years of experience working in data engineering or architecture role Expertise in SQL and data analysis and experience with at least one programming language Experience developing and maintaining data warehouses in big data solutions  Big Data development experience using some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka Experience working with BI tools such as Tableau, Power BI, Looker, Shiny  Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.  Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics  Passion for agile software processes, data-driven development, reliability, and experimentation  Experience working on a collaborative agile product team   Excellent communication, listening, and influencing skills  WHAT’S NICE TO HAVE  Bachelor’s degree in Computer Science, MIS, or Engineering  7+ years applicable work experience Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space  Experience in Python or Scala  Big Data development experience using Hive, Impala, Spark and familiarity with Kafka  Familiarity with the Linux operating system   Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase Knowledge of Data Preparation, Data Wrangling, and Feature Engineering

WHAT YOU’LL DO: To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions. In this role, you will: collaborate with business partners to develop novel ways to meet goals utilizing cutting edge techniques and tools and effectively communicating your analytics approach advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers engineer new features by using your business acumen to find new ways to combine disparate data sources love to collaborate, coach and learn with a growing team of experienced Data Scientists stay connected with external sources of ideas through conferences and community engagements WHO YOU ARE: Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience Must have Python or R proficiency working with DataFrames Must have proficiency writing complex SQL queries Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management WHAT’S NICE TO HAVE: Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization Experience with supporting deployment, monitoring, maintenance and enhancement of models Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.