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Partner with the CTO and CDO to ensure alignment with digital & data strategy and governance standards. data storage, database infrastructure, and data engineering) to maintain efficient and secure management of data assets as well as application hosting.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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Data strategy and execution (bridge between farm-level and performance-level) Asset Management: (bridge between farm operations and investment platform) enabling the conversion of farm activities into financial and performance outcomes.
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Expertise in data management standard methodologies such as data integration, data security, data warehousing, data analytics, Data Governance, metadata management and data quality.
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Working with other stakeholders, the function is also the important catalyst and discussion partner with respect to broader BCG enterprise risk topics, including, but not limited to, areas of contracting and client matters, confidentiality, HR, IT, legal, and compliance topics including anti-bribery and corruption, KYC, supplier management, information management, insider trading, conflicts of interest, information security, and data privacy, etc.
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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions; internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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The QIG team manages a competitive and growing systematic investment capability, the Platform Strategies team drives insight, efficiency and scale through their leadership of the platform's technology and data strategy, and the iSci team generates specialist science-based research that enhances fundamental idea generation and returns.
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Category management understanding and knowledge using syndicated data sources (SPINS, Nielsen, IRI) to support fact-based selling. Evaluate and analyze the business using Nielsen, IRI, POS and shipment data in order to make recommendations and strategy adjustments.
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Manager - LAN/Wireless Product Engineering and OpsNetwork Platform Manager LAN/Wireless is an engineering lead who will oversee the engineering, delivery and operations for ADUSA’s local area networks and wireless platforms which spans across all retail brands, corp offices, distribution centers, data centers and warerooms and will have responsibility for supporting the multi-year strategy to transform the LAN and Wireless architecture, and all associated technologies.
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By leveraging assigned data governance professionals, formulate and advance Data Strategy to enhance scope and quality of data across Group Segment. Engage with each of the functional units to envision, build and prioritize data strategy and AI plans.
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QualificationsMinimum of three years of experience managing teams and owning the development of workforce management for a medium-sized or large organizationThorough understanding of all three operations functional areas, as well as deep paratransit industry experienceProficiency with paratransit scheduling software (and preferably StrataGen ADEPT)Deep understanding of data analytics including forecasting, dynamic modelling, and statisticsDemonstrated critical thinking ability and leadership.
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Lead the selection and management of external CROs (clinical research organizations) for procurement of clinical samples for discovery and translational biomarker efforts using omics, proteomics, and data mining tools.
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Collaborate with cross-functional technology partners including DTE (Data, Technology & Engineering), DKM (Data Knowledge Management) and DSS (Data Strategy and Solutions) to ensure initiatives are supported and tailored to business/brand needs and objectives.
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Knowledge of generative AI implementation challenges including data quality, model biases, cost management, cyber security, and strategies to address them. Understanding of Finance business processes, including FP&A, Strategic Finance, Business Unit Finance, Controllership (Close & Consolidations), Tax, Treasury, Management and External Reporting, and Investor Relations.
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The HRBP will act as a strategic advisor, offering guidance on employee relations, talent management, compensation and benefits, employee engagement, HR analytics and reporting and policy and procedures.
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data management strategy jobs in Cambridge, MA
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