Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Job Summary:We are seeking an experienced Technical Project Manager with solid Big Data expertise to lead the planning execution and delivery of datadriven initiatives The ideal candidate will bridge the gap between business stakeholders and technical teams managing complex data engineering and analytics projects while ensuring timely and highquality deliveryKey Responsibilities:Project ManagementLead endtoend delivery of Big Data and analytics projects across multiple teamsDefine project scope goals timelines and deliverables aligned with business objectivesManage project risks dependencies and resource allocationTrack progress and provide regular project status updates to stakeholdersEnsure adherence to Agile Scrum or hybrid project management methodologiesTechnical LeadershipCollaborate with data engineers architects and analysts to design scalable Big DataUnderstand and guide implementation of data pipelines ETL processes and realtime data streamingEnsure best practices in data governance security and complianceReview technical designs and provide recommendations to improve performance solutions and scalabilityStakeholder ManagementAct as a liaison between business engineering and senior leadershipGather and translate business requirements into technical specificationsFacilitate effective communication across distributed teamsData Big Data Platform OversightManage projects involving technologies such asHadoop ecosystem HDFS Hive SparkCloud platforms Azure AWS GCPData warehouses Snowflake Redshift BigQueryStreaming tools Kafka FlinkDrive adoption of modern data architecture practices such as data lakes and lakehouse solutionsQuality DeliveryEnsure highquality deliverables through testing validation and performance tuningMonitor KPIs SLAs and project success metricsPromote continuous improvement and process optimizationRequired Qualifications:Bachelors or Masters degree in Computer Science Engineering Data Science or related field7 years of experience in IT with 3 years managing Big Data or data engineering projectsStrong understanding of data architectures ETL processes and distributed systemsProven experience managing AgileScrum projectsHandson experience or familiarity withApache Spark Hadoop KafkaSQL and NoSQL databasesCloudbased data services Azure Data Factory AWS Glue etcPreferred Qualifications:PMP Scrum Master CSM or equivalent certificationExperience with AIML data pipelines or advanced analytics projectsFamiliarity with DevOps and CICD practicesKnowledge of data governance frameworks and compliance standards eg GDPRKey Skills:Strong technical and analytical skillsExcellent communication and stakeholder managementLeadership and team coordination abilitiesProblemsolving and decisionmaking skillsRisk management and prioritizationAbility to translate business requirements into technical solutionsTools Technologies:Project Management Jira Azure DevOps MS ProjectData Platforms Hadoop Spark SnowflakeCloud Azure AWS or GCPProgramming Python SQL preferredVisualization Power BI Tableau nice to haveThe base compensation range for this role in the posted location is: 83,335 to 90,909Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.It is not typical for candidates to be hired at or near the top of the posted compensation range.In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.Capgemini offers a comprehensive, non-negotiable perks package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick LeaveMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)Retirement savings plans (e.G., 401(k) in the U.S., RRSP in Canada)Life and disability insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time,



within the limits of applicable legislation.DisclaimersCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an Applicant in the United States. http://www.Capgemini.Com/resources/equal-employment-opportunity-is-the-lawCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.#J-18808-Ljbffr

📌 Technical Project Manager - $83,335 - $90,909 A Year (Winnipeg)
🏢 Capgemini
📍 Winnipeg