Party City | Technical Manager, Data Cloud | woodcliff lake, nj

3 days ago

woodcliff lake, United States Party City Full time

Company Overview:


Party City is a global leader in the celebrations industry, delivering joy and inspiration to customers across more than 70 countries. As North America's largest party goods retailer, Party City is the go-to shopping destination for every type of celebration, offering an extensive and innovative selection of products at exceptional value.


With a strong omnichannel presence, Party City continues to grow its eCommerce business, PartyCity.com, while the company’s over 700 company-owned and franchise store locations across North America remain an integral piece of their business to allow consumers to experience their products first-hand. The company also operates Amscan, a premier designer, manufacturer, and distributor celebration products including décor, tableware, costumes, and accessories.


Headquartered in Woodcliff Lake, N.J., with additional locations in the Americas and Asia, Party

City is committed to helping customers create unforgettable moments for every occasion.


Job Overview:


We are seeking a dynamic and seasoned Data Cloud Manager with a unique blend of technical expertise, strategic acumen, and leadership skills. The ideal candidate should possess profound knowledge in any Data Cloud as well as Marketing or Sales/Service suite, complemented by a keen ability to translate complex analysis into actionable solutions that propel business growth. The Data Cloud Manager will not only be expected to execute tasks but also do the solution delivery management. The manager should be capable of making critical decisions, solving complex problems, and maintaining effective client relationships while ensuring the delivery of high-quality solutions.


Responsibilities and Duties:

  • Partner with cross-functional teams: Collaborate with teams across departments, including engineering, marketing, and operations, to ensure successful platform operations and stability. Lead initiatives with teams of varying sizes, including technical architects, developers, data scientists, and business stakeholders, ensuring alignment across all project phases.
  • Assess and improve platform operational processes: Continuously analyze and enhance platform operations by implementing automated monitoring, scalability solutions, and optimization strategies to increase efficiency and reduce downtime.
  • Implement CDP best practices: Ensure that best practices in Customer Data Platform (CDP) implementations (such as Salesforce or Adobe Experience Cloud) are adhered to, including data ingestion, identity resolution, and audience segmentation processes.
  • Manage incidents escalated from the support teams: Establish a structured process to address and resolve incidents, working with technical teams to troubleshoot issues. Track and report incidents with a focus on continuous improvement, leveraging root cause analysis.
  • Scope a project and evaluate releases: Lead project scoping sessions to define deliverables, assess release quality, and ensure they align with business requirements. Collaborate with Product Managers to prioritize features and deliver value incrementally.
  • Drive resolution to data architecture deficiencies: Identify inefficiencies in data architecture and lead initiatives to restructure, optimize, and extend cloud environments for better data management, security, and performance.
  • Effectively hire, manage performance, coach, and promote: Build and mentor high-performing teams by developing individual growth plans, conducting regular performance reviews, and promoting a culture of continuous learning.
  • Collaborate with Product Managers and Technical Program Managers: Work closely with product teams to define data product roadmaps, prioritize tasks, and translate high-level goals into actionable user stories and delivery timelines.


Skills Required:


Customer Data Modeling best practices: Deep knowledge of Customer Data Platforms (CDP) like Salesforce, Adobe Experience Cloud, or similar systems. Experience with data modeling techniques such as event-driven architectures, identity resolution, and customer journey mapping.

Cross-cloud integrations: Expertise in integrating systems across cloud platforms (e.g., Salesforce Marketing Cloud, Adobe Experience Cloud, or AWS, Azure, Google Cloud), managing complex data pipelines, and ensuring seamless data flow across multiple environments.

Proficiency in complex SQL queries: Ability to write and optimize advanced SQL queries to handle large datasets efficiently. Experience with cloud-native database solutions like Snowflake, BigQuery, Redshift, or Azure Synapse Analytics is a plus.

Experience in cloud-based data warehouses/data lakes: Strong experience in architecting and implementing solutions using cloud-based data warehouses or lakes, such as AWS S3, Google Cloud Storage, Azure Data Lake, or Snowflake.

A strong technology background: Proven expertise in both data and software engineering, including experience with technologies like Python, Scala, or Java, and familiarity with API integrations and microservices architecture.


Qualifications:

  • Bachelor's Degree
  • 3+ years in marketing automation, data model, and architecture in the Salesforce or Adobe or similar ecosystem
  • 3+ years in marketing project implementation, or project management using Agile methodologies.
  • Proven experience with Data Cloud implementations

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