Opening: Program Manager
Location: Mahwah, NJ (initial remote)
Contract: 4+ Months
Essential duties & responsibilities:
Analytical and soft-spoken Candidate with 15 years of IT experiences in Healthcare & Life Sciences industries, SCM, Manufacturing, and Inventory. Primarily in the areas of data architecture, Enterprise level Analytics product, Solution architecture, technology consulting, advisory, and IT Project Delivery/program management.
• Works closely with Business and IT SMEs of different functional track
• Build and document understanding of business process and data, Map process with data and IT systems (ERP, Master data...etc), Map a data Integration and acquisition plan.
• Conduct requirement gathering sessions with Business and IT stakeholder
• Layout requirement and specification
• Builds technical Delivery plan, Roadmap, Project charter under Stryker DevOps Leads supervision
• Conducts meeting and Demo with IT and Business Leads for Project Deliverables alignment, milestone alignment , progress update , Risk mitigation plan and technical/functional highlights
Area of Expertise:
• Domain knowledge GQO Operations like Manufacturing, supply chain, Demand planning, Logistics operations will be an advantage
• Focusing on Business Intelligence, and data analytics.
• Expertise in Architecture, Solution Design, Defining Data-Strategies, Architecture, Data modeling, Integration Techniques, Predictive modeling,
• Product Design, Implementing end-to-end DataWarehouse systems, Requirement analysis, Proofs-Of-Concept, Modernization of DW, Real-time Analytics
Technical Expertise:
• Data warehousing and Business Intelligence
• Enterprise data warehouse & ODS
• Cloud Data Implementation- Azure, AWS
• Data storage design- Dimensional, Relational, NoSQL
• Worked in MPP database & architecture
• Data Lake - ADLS, AWS Lake Formation
• Cloud Data Warehouse - Azure Synapses ( Must have), Snowflake
• Data Modelling - Normalised, Data Mart
• Modelling (Star & snowflake schema),EDW & ODS
• Working knowledge of ML/Predictive Model: - Linear regression,logistic model, Statistical Modelling: -Exploratory Analysis,
• Data Integration - ETL Batch, Real-Time
• Streaming and Data Services
• Master Data Management, Reference Data Management
Hands-on experience across several disciplines:
• Techno/functional experties in providing application process analysis, architecture and system design, systems development, testing and deployments
• Formulating deployment strategies to ensure reliability and scalability for GQO Analytics platform.
• Providing feedback and directions for technical design, prototypes/mock-ups, development, testing and delivery of solutions for release cycles and/or new projects within Global data and anaytics.
• Assessing technological risks that could jeopardize the growth and/or operations of the organization; makes recommendations on applications retirement.
• Demonstrating expertise in a variety of the systems development concepts, practices, and procedures.
• Developing and building robust integration with Infrastructure, Security, Governance, Service Delivery, etc.
• Ensuring clear communication between business stakeholders and IT technical teams.
• Reviewing and Governing business process documents, application and technical specifications, test plans and cutover plans for go-live sites.
Qualifications & experience:
• Bachelor/master's degree in computer science with minimum 10 years of IT experience
• Minimum 15 years of IT experience including collecting requirement, writing specifications, setting priorities and plans to meet business objectives.
• Minimum 12 years of experience in Data warehousing and Business intelligence tools and technology with a focus on complex business intelligence and data analytics projects including independent problem solving, effective communication with peers and stakeholders at all levels.?
• Experience of Agile and DevOps method of delivering projects and maintaining product lifecycle
• Strong stakeholder management skills with solid track record of technical delivery and operations.
• Experience of managing complex project of Data Analytics, building and maintaining core data assets and platforms, data engineering & architecture, data mirroring from enterprise real-time data enablement platforms, Analytics platform selection, deployment, and maintenance, advanced analytics capabilities & resources, and data governance policies, retention periods, compliance, etc.
• Critical Thinking: Must look at the numbers, trends, and data and come to new conclusions based on the findings.
• Demonstrated experience in complex project delivery around Business Intelligence, advanced analytics, information management or data warehousing related projects
• Strong understanding of data and analytics tools and technology including open sources
• Hands on knowledge of Microsoft Azure analytics stack including Synapses analytics and PowerBI
• Knowledge of Azure Marketplace tools including open sources for advance analytics
• Certification for Microsoft Azure data analytics is added advantage
• Knowledge/certification of data virtualization is added advantage
• Conceptually good on Data cloud, Data Bricks, No SQL streaming analytics
Job Requirements:
Careerbuilder-US
Mahwah New Jersey
United States
Information Technology
(No Timezone Provided)
Opening: Program Manager
Location: Mahwah, NJ (initial remote)
Contract: 4+ Months
Essential duties & responsibilities:
Analytical and soft-spoken Candidate with 15 years of IT experiences in Healthcare & Life Sciences industries, SCM, Manufacturing, and Inventory. Primarily in the areas of data architecture, Enterprise level Analytics product, Solution architecture, technology consulting, advisory, and IT Project Delivery/program management.
• Works closely with Business and IT SMEs of different functional track
• Build and document understanding of business process and data, Map process with data and IT systems (ERP, Master data...etc), Map a data Integration and acquisition plan.
• Conduct requirement gathering sessions with Business and IT stakeholder
• Layout requirement and specification
• Builds technical Delivery plan, Roadmap, Project charter under Stryker DevOps Leads supervision
• Conducts meeting and Demo with IT and Business Leads for Project Deliverables alignment, milestone alignment , progress update , Risk mitigation plan and technical/functional highlights
Area of Expertise:
• Domain knowledge GQO Operations like Manufacturing, supply chain, Demand planning, Logistics operations will be an advantage
• Focusing on Business Intelligence, and data analytics.
• Expertise in Architecture, Solution Design, Defining Data-Strategies, Architecture, Data modeling, Integration Techniques, Predictive modeling,
• Product Design, Implementing end-to-end DataWarehouse systems, Requirement analysis, Proofs-Of-Concept, Modernization of DW, Real-time Analytics
Technical Expertise:
• Data warehousing and Business Intelligence
• Enterprise data warehouse & ODS
• Cloud Data Implementation- Azure, AWS
• Data storage design- Dimensional, Relational, NoSQL
• Worked in MPP database & architecture
• Data Lake - ADLS, AWS Lake Formation
• Cloud Data Warehouse - Azure Synapses ( Must have), Snowflake
• Data Modelling - Normalised, Data Mart
• Modelling (Star & snowflake schema),EDW & ODS
• Working knowledge of ML/Predictive Model: - Linear regression,logistic model, Statistical Modelling: -Exploratory Analysis,
• Data Integration - ETL Batch, Real-Time
• Streaming and Data Services
• Master Data Management, Reference Data Management
Hands-on experience across several disciplines:
• Techno/functional experties in providing application process analysis, architecture and system design, systems development, testing and deployments
• Formulating deployment strategies to ensure reliability and scalability for GQO Analytics platform.
• Providing feedback and directions for technical design, prototypes/mock-ups, development, testing and delivery of solutions for release cycles and/or new projects within Global data and anaytics.
• Assessing technological risks that could jeopardize the growth and/or operations of the organization; makes recommendations on applications retirement.
• Demonstrating expertise in a variety of the systems development concepts, practices, and procedures.
• Developing and building robust integration with Infrastructure, Security, Governance, Service Delivery, etc.
• Ensuring clear communication between business stakeholders and IT technical teams.
• Reviewing and Governing business process documents, application and technical specifications, test plans and cutover plans for go-live sites.
Qualifications & experience:
• Bachelor/master's degree in computer science with minimum 10 years of IT experience
• Minimum 15 years of IT experience including collecting requirement, writing specifications, setting priorities and plans to meet business objectives.
• Minimum 12 years of experience in Data warehousing and Business intelligence tools and technology with a focus on complex business intelligence and data analytics projects including independent problem solving, effective communication with peers and stakeholders at all levels.?
• Experience of Agile and DevOps method of delivering projects and maintaining product lifecycle
• Strong stakeholder management skills with solid track record of technical delivery and operations.
• Experience of managing complex project of Data Analytics, building and maintaining core data assets and platforms, data engineering & architecture, data mirroring from enterprise real-time data enablement platforms, Analytics platform selection, deployment, and maintenance, advanced analytics capabilities & resources, and data governance policies, retention periods, compliance, etc.
• Critical Thinking: Must look at the numbers, trends, and data and come to new conclusions based on the findings.
• Demonstrated experience in complex project delivery around Business Intelligence, advanced analytics, information management or data warehousing related projects
• Strong understanding of data and analytics tools and technology including open sources
• Hands on knowledge of Microsoft Azure analytics stack including Synapses analytics and PowerBI
• Knowledge of Azure Marketplace tools including open sources for advance analytics
• Certification for Microsoft Azure data analytics is added advantage
• Knowledge/certification of data virtualization is added advantage
• Conceptually good on Data cloud, Data Bricks, No SQL streaming analytics
Job Requirements: