Data Governance and Stewardship Manager

Data Analyst (1 year contract)

Downstream Data Scientist

Manager Data Analytics

Data Engineer

Data Analyst

Data Scientist

Data Science Manager

Product Manager

Role Description: <ul><li>The Data Governance Data Steward role is responsible for ensuring the business and IT adhere to and maintain alignment to the Enterprise Data Governances processes, rules and standards for in scope data.</li><li>This role requires deep knowledge of the data requirements and business use as well as associated elements and processes involved.</li><li>This will be achieved through the EDG Data Steward operating as the single point of contact for those creating and consuming data within their respected data domain(s).</li><li>Additionally, they will be interacting directly with key domain and project stakeholders, the EDG Lead, Governance Council, other data stewards across the organization and relevant SMEs throughout the organization as necessary.</li><li>This position reports to the EDG Lead and collaborates / advises with companys Governance Council, of which they are accountable for the success of companys EDG program.</li></ul> Responsibilities: <ul><li>Execute standard policy for onboarding data into companys environments globally.</li><li>Work with Data Ecosystem team to manage data standards and ensure adherence.</li><li>Work with internal Sustainability and Employee data and external 2nd and 3rd party data providers to ensure data on-boarding follows standardized process; continue to refine process as needed.</li><li>Responsible in the promotion of data accuracy and adherence to companys defined data management and governance practices, as well as driving acceptance of companys enterprise data standards and policies across the various business segments and areas that utilize (formally and informally) enterprise data and information.</li><li>Maintain and advise relevant stakeholders as appropriate on data governance related matters.</li><li>Create and distribute recommendations and supporting documentation for new or proposed data standards, business rules and policy.</li><li>Coordinate across the organization (with fellow Enterprise Data Stewards and the EDG leader; strategic initiatives, Digital Use Cases and the federated data network) in order to maintain consistency of companys critical enterprise, digital, operational and analytical data.</li><li>Accountable for ensuring that data-centric activities are aligned with the EDG program and leverage applicable data standards, governance processes, and overall best practices.</li></ul> Requirements: <ul><li>5+ years of experience working in Data Governance or Data Management experience preferably within a global CPG (Consumer Packaged Good) company.</li><li>Strong data management background and understanding of data, how to ingest data, proper data use/consumption, data quality, and stewardship.</li><li>5+ years of experience working with Sustainability, Employee and/or External data, associated processes, involved systems and data usage.</li><li>Ability to partner with both business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures are defined and implemented.</li><li>Informatica (EDC, Axon, IDQ), Intermediate to advanced Excel experience preferred.</li><li>Strong knowledge and understanding of Sustainability and Employee Data Assets and master data elements, and processes for onboarding and using 2nd and 3rd party data.</li><li>Strong Communication Skills/Able to Persuade/Influence Others at all Organization Levels and the ability foster lasting partnerships.</li><li>Ability to translate business requirements into critical data dependencies and requirements ability to think beyond their current state (processes, roles and tools) and work towards an unconstrained, optimized design.</li><li>Demonstrated proficiency with using Excel to source, analyze, normalize and process data to define requirements for ongoing processing and management of the data including quality validations.</li><li>An ability to solicit followership from the functional teams to think beyond the "way the things work today".</li><li>Able to align various stakeholders to a common set of standards and the ability to sell the benefits of the EDG program.</li><li>Foster lasting relationships across varying organizational levels and business segments with the maturity to interface with all levels of management.</li><li>Self-starter who welcomes responsibility, along with the ability to thrive in an evolving organization and an ability to bring structure to unstructured situations.</li><li>Ability to arbitrate on difficult decisions and drive consensus through a diplomatic approach.</li><li>Matrix management skills and business acumen.</li><li>Excellent written &amp; verbal communication skills.</li><li>Intermediate Excel Skill.</li></ul>

Responsibilities: <ul><li>As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line.</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li></ul>

Responsibilities: <ul><li>Formulates and leads guided, multifaceted analytic studies against large volumes of data.</li><li>Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.</li><li>Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.</li><li>Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.</li><li>Leads all data experiments tasked by the Data Science Team.</li><li>Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.</li><li>Develops methodology and processes for prioritization and scheduling of projects.</li><li>Analyzes problems and determines root causes.</li><li>Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.</li><li>Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.</li></ul> Requirements: <ul><li>Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields</li><li>5-7 years of professional experience</li><li>Proficient with one or more programming languages (Java, C++, Python, R, etc.)</li><li>Demonstrated experience applying data science methods to real-world data problems</li><li>Experience utilizing visualization tools to take advantage of the growing volume of available information</li></ul>

Responsibilities: Net revenue management analytics: <ul><li>Working with Finance, Commercial, Portfolio and business unit heads to lead priority analytical projects to provide analytical support for NRM projects and revenue-related business activities.</li></ul> Take accountability for management and deployment of: <ul><li>Revenue / volume / pricing / share-of-market modeling and forecasting projects</li><li>ROI calculations and projections models</li><li>Portfolio analysis and portfolio rationalization projects</li><li>Python applications development, deployment and ongoing support</li></ul> Data quality &amp; integrity analytics: <ul><li>Working with internal and external stakeholders to lead data governance efforts to ensure understanding and defining the appropriate thresholds for data quality metrics, both technical and business.</li><li>Take accountability for management and deployment of:</li><li>Master data analytics &amp; management activities</li><li>Business data quality monitoring and addressing DQ issues</li><li>Data accuracy and coverage reports maintenance activities</li><li>Data flow analytics and data process improvement</li></ul> Requirements: <ul><li>University degree in quantitative fields: in STEM (Science, Technology, Engineering, Mathematics), Finance, Economics, Business or equivalent.</li><li>5+ years of hands-on experience as a Data Scientist, Data Analyst or Data Engineer.</li><li>Strong proficiency with SQL and Python. </li><li>Experience with data visualization in PowerBI.</li><li>Strong analytical and learning capability - ability to formulate and verify hypothesis regarding data.</li><li>Ability to take on projects with a sense of ownership and ambitious attitude.</li><li>Collaborative &amp; entrepreneurial results-driven mindset. </li><li>Capable of aligning top-down, cross-functional and market priorities, analyses and insights.</li><li>Learn quickly &amp; acquire skills for working in virtual teams (team members will be in different locations).</li><li>Be comfortable extracting insights from quantitative data, connecting the dots across multiple data sources and making business recommendations.</li><li>Strong Excel &amp; PowerPoint skills.</li><li>Fluency in English required.</li></ul>

Responsibilities: <ul><li>Collaborate with the Product Owner, Business analyst and other team members to understand data requirements and design scalable data pipelines and architectures.</li><li>Build and maintain data ingestion, transformation, and storage processes using Databricks and Azure services.</li><li>Develop efficient ETL workflows to extract, transform, and load data from various sources into data lakes or data warehouses.</li><li>Optimize and fine-tune data pipelines for performance, reliability, and scalability.</li><li>Implement data quality checks and monitoring to ensure data accuracy and integrity.</li><li>Work with BI developers and data analysts to provide them with the necessary data infrastructure and tools for analysis and reporting.</li><li>Troubleshoot and resolve data-related issues, including performance bottlenecks and data inconsistencies.</li><li>Stay up to date with the latest trends and technologies in data engineering and recommend improvements to existing systems and processes.</li><li>Document data engineering processes, data flows, and system configurations.</li></ul> Requirements: <ul><li>Highly self-motivated, work Independently, assume ownership and results oriented.</li><li>desire and interest to stay up to date with the latest changes in Databricks, Azure and related data platform technologies.</li><li>ime-management skills and the ability to establish reasonable and attainable deadlines for resolution.</li><li>Strong programming skills in languages such as SQL, Python, Scala, or Spark.</li><li>Experience working with Databricks and Azure services, such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure SQL Database and Azure Synapse Analytics.</li><li>Proficiency in data modeling, database design, and SQL query optimization.</li><li>Familiarity with big data technologies and frameworks like Hadoop, Spark, and Hive.</li><li>Familiarity with data governance and security best practices.</li><li>Knowledge of data integration patterns and tools.</li><li>Understanding of cloud computing concepts and distributed computing principles.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and collaboration skills to work effectively in an agile team environment.</li><li>Ability to handle multiple tasks and prioritize work in a fast-paced and dynamic environment.</li></ul> Qualifications: <ul><li>Bachelor’s degree in Computer Science, Engineering or a related field.</li><li>2+ years of proven experience as a Data Engineer, with a focus on designing and building data pipelines.</li><li>Certifications in Databricks or Azure services is a plus.</li><li>Experience with data streaming technologies such as Apache Kafka or Azure Event Hubs is a plus.</li></ul>

Responsibilities: <ul><li>Construct dataset stored procedures that can help with data mining, modeling, and production.</li><li>Perform ETL from Snowflake Data warehouse and Data Lake by ingesting, transforming, and delivering data for deeper insights.</li><li>Use of Python to code ETL frameworks, API interactions, automation, and data munging tasks such as reshaping, aggregating, joining disparate sources etc.</li><li>Hands-on experience using RDBMS SQL &amp; NoSQL databases like Oracle, SQL Server, Snowflake, MongoDB, DynamoDB etc.</li><li>Build pipelines with AWS Glue jobs, Cloud watch, Amazon Redshift and other stack services.</li><li>Utilize code (Python, R, Scala, SQL etc.) for analyzing data and building statistical and machine learning models and algorithms.</li><li>Create dashboard, Track, and report KPI / performance metrics to upper management.</li><li>Conduct Data quality check by reviewing existing data and reports and performance indicators trends.</li><li>Coordinate with Digital vertical for data pipelines development in data lake platforms for live data streams.&nbsp;</li></ul> Requirements: <ul><li>Experience :- 7 to 10 years.</li><li>Programming language mandate :- Python , C# and .NET.</li><li>AWS Cloud knowledge is must.</li><li>Should have working experience on ETL Tools.</li><li>Back-end experience :- SQL /MongoDB/DynamoDB.</li></ul>

As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line. Responsibilities: <ul><li>The Data Analyst is responsible for the delivery of reports through</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li><li>Contract for the one year</li></ul>

Role Description: <ul><li>Our client occupies a unique position in the global energy industry.</li><li>They are the worlds largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.&nbsp;</li><li>With their significant investment in technology and infrastructure, they strive to maximize the value of the energy they produce for the world along with a commitment to enhance our client value to society.</li><li>Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, they combine market discipline with a generations’ spanning view of the future, born of their nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources.</li><li>This responsibility has driven our client to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that they supply.</li></ul> Responsibilities: The candidate will be required to perform the following: <ul><li>Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>Mine and analyze data from company data sources to drive optimization and improvement of product development, and business strategies.</li><li>Assess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>Develop custom data models and algorithms to apply to data sets.</li><li>Use predictive modeling to increase and optimize production facilities, revenue generation, and other targeted outcomes.</li><li>Develop testing mechanisms and test model quality and validate hypothesis accordingly.</li><li>Coordinate with different functional teams to implement models and monitor outcomes.</li><li>Develop necessary documentation as per established standards.</li></ul> Requirements:&nbsp; <ul><li>A successful candidate will hold a Bachelor’s degree in in data science, computer science, applied mathematics or a related field from a recognized and approved program.</li><li>A Master’s degree is preferred.</li></ul> The candidate will have: <ul><li>At least 5 years of experience in building time series forecasting models.</li><li>A strong expertise in data collection, cleaning, preprocessing, and wrangling.&nbsp;</li><li>Strong fluency in either R or Python, preferably both, and familiarity with golang is a plus.&nbsp;</li><li>Proficiency in visualization tools and packages; and in communicating data science topics to non-technical audience is a requirement.</li><li>Experience in time series forecasting models and in using technologies like LSTMs, Prophet, and time series analysis is a requirement.</li><li>Proficiency in using sklearn pandas, numpy, plotly, seaborn, and relevant R libraries if R is their preferred language is necessary.</li></ul> Working Environment:&nbsp; <ul><li>Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.</li><li>At our client, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.</li><li>We have a proud history of educating and training our workforce over many decades.</li><li>Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.</li></ul>

Responsibilities: <ul><li>Work with Analytics team (in the Front - business line) and will have the primary responsibility for generating data products (reports, applications) to meet business needs</li><li>Collaborate as part of a cross functional team with business departments (Commercial, Marketing, Strategy, etc.) and IT (data engineering).</li><li>Support stakeholders in choosing the best approach to achieve business goals with data insights, reporting and data models; always having in mind how these teams will use, consume or interact with the data products</li><li>Partner with IT to secure data models are built leveraging best practices and ensuring KPI automation.</li><li>Lead Data scientists team and support the designing of different solutions: best-in-class visualization, hypothesis testing (A/B testing), advanced models and algorithms deployments</li><li>Develop strategical reports and dashboards with a Proof of Value and scalability approach.</li><li>Develop and implement data products for main stakeholders (Commercial, Marketing, Finance departments).</li><li>Work as a translator between business and IT departments for KPIs definition and automation.</li><li>Coordinate user-focused documentation for the data solutions.</li><li>Collaborate with architects from the IT department to support data governance and quality efforts.</li><li>Support requests prioritization to align workload to business strategy.</li><li>Coordinate and develop teams of Data Scientists.</li><li>Communicate insights, data products and reports status and results clearly to the partners.</li><li>Negotiate requests, workloads and team assignment with different partners.</li></ul> Requirements: <ul><li>Bachelor’s degree in Mathematics, Actuary, Economy, Engineering, Computer science.</li><li>Masters degree in Data Science, Computer Science, Statistics or related area is a plus.</li><li>5+ years’ proven experience working on Data Visualization, Data Science, Machine Learning.</li><li>Advanced experience with programming languages for data modeling (SQL, R, Python).</li><li>Advanced experience working with Business Intelligence platforms and tools (Microsoft Power BI).</li><li>Experience with cloud platforms (desireable experience with AWS).</li><li>Project Management &amp; communication skills.</li><li>Experience on Agile methodologies (SCRUM desirable).</li><li>Problem solving/critical thinking mindset.</li><li>Highly organized.</li><li>Data storytelling and communication skills.</li><li>Proficiency in English.</li></ul>

Responsibilities: Be responsible for product strategy &amp; plan via:&nbsp; <ul><li>Defining annual product plan, incl. launches, marketing mix strategy</li><li>Developing growth product strategy&nbsp;</li><li>Ensuring consistency of brand tone of voice and equity in product communication and promotions in online and offline environment</li><li>Be the expert of the product categories with an in-depth understanding of consumer, market facts as well as trends and insights.</li><li>Manage the end-to-end marketing process.</li></ul> Be accountable for product performance via: <ul><li>Forming pricing strategy.&nbsp;</li><li>Building and following P&amp;L lines related to product/categories responsibility.</li><li>Owning A&amp;P budget.</li><li>Owning all key product metrics e.g. turnover, market share, sizing.</li><li>Building communication and advertising strategy in collaboration with agencies and teams.</li><li>Coordinating with key stakeholders to ensure product growth.</li><li>Representing the team inside and outside company.</li></ul> <ul><li>Perform the role of the marketer emphasizing on consumers and internal teams.&nbsp;&nbsp;</li><li>Work in a contemporary Marketing structure where he or she will handle strategic product categories and digital assets as well as with divisional / corporate project.&nbsp;</li><li>Implement new launches, maintain growth in pillar products and animate portfolio, as well as ensure brand’s awareness &amp; penetration, expression in the POS and Rx in visited medical specialties.&nbsp;</li><li>Propose and monitor marketing mix strategies to build integrated and engaging consumer brand experiences.</li><li>Mobilize and work cross-functionally in cooperation with medical, sales, logistics, education and other Departments, as well as international teams.&nbsp;</li><li>Drive for success via exposure to latest market trends and studies, creating best practices that will share the future business environment.&nbsp;&nbsp;</li><li>Partner with αagencies to develop aligned and holistic strategies, accommodating campaigns’ deadlines in a timely manner.&nbsp;&nbsp;</li><li>Manage budget, ensuring best ROI and contribute to sales forecast accuracy.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Minimum 3 years of relevant experience, preferably in Pharmaceutical or Beauty Industry, ideally in a multinational environment.</li><li>Bachelor’s degree in marketing, Business Administration or biomedical studies, pharmacology, chemistry, or equivalent scientific studies.</li><li>Master Equivalent or MBA would be a plus.&nbsp;&nbsp;</li><li>Digital savvy expertise, both in leading creative briefs and allocating media budgets.</li><li>Winning spirit and entrepreneurial attitude, curiosity, and pride to create the “wow effect”.</li><li>Excellent communication and influencing skills, strong data analytics and strategic thinking, advanced planning &amp; organizational capabilities.&nbsp;&nbsp;</li><li>Ability to think broadly in terms of Business Perspective and out-of-the box.&nbsp;&nbsp;</li><li>Creativity, personal drive, innovation, and passion for the health beauty industry.</li></ul>

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660 data management Jobs found

Data Governance and Stewardship Manager

Data Analyst (1 year contract)

Downstream Data Scientist

Manager Data Analytics

Data Engineer

Data Engineer

Data Analyst

Data Scientist

Data Science Manager

Product Manager

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660 data management Jobs found

Data Governance and Stewardship Manager

Data Analyst (1 year contract)

Downstream Data Scientist

Manager Data Analytics

Data Engineer

Data Engineer

Data Analyst

Data Scientist

Data Science Manager

Product Manager

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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