Director Data Product Engineering Position Available In Miami-Dade, Florida

Job ID10963
Location
Miami, FL
Full/Part TimeFull-Time
Regular/TemporaryRegular Responsibilities

JOB SUMMARY

Responsible for developing and leading the Enterprise-Level Data Product Innovation team. This team focuses on identifying high-value and strategic data needs and leading the development of comprehensive, clean, curated, and continuously updated data products that can be broadly and securely consumed by both analysts and information systems. In collaboration with executive leadership, the Director of Data Product Innovation will define and implement a roadmap for leveraging modern data products and policies while integrating them into the data culture of Norwegian Cruise Line Holdings. The Director will conduct discovery based on business feedback to identify data and applications suitable for product development while engaging with business partners to define data needs, assess potential ROI, and determine the optimal structure and output of data products. They will lead a team of data engineers in the design, development, execution, and maintenance of data products, ensuring that data artifacts are well-defined, documented, and structured for sustainable and shared usage. Additionally, the Director will partner closely with stakeholders to develop and lead engagement programs for data products, encompassing communications, training, user engagement, and support processes. A key focus of this role is enabling data science operational capabilities through modern data product design and tooling, ensuring that data-driven insights and machine learning models can be effectively operationalized across the organization.

DUTIES & RESPONSIBILITIES

Define and communicate the vision, strategy, and roadmap for data product creation, ensuring alignment with company objectives and market trends.
Develop and execute a comprehensive product strategy and roadmap, prioritizing initiatives based on industry trends, internal customer feedback, and business impact.
Collaborate closely with cross-functional teams, including business-focused teams (revenue, finance, sales, etc.) and executive leadership, to align data product creation efforts with broader business goals and initiatives.
Engage with business stakeholders to understand their data needs, gather feedback, and translate insights into detailed requirements while validating product concepts to ensure maximum value and customer satisfaction.
Work closely with data engineering, data governance, and data analytics/science teams-both internal and external-to develop and deliver innovative data products and solutions.
Manage vendor and external partner relationships, ensuring effective project execution and alignment with business objectives.
Establish and enforce robust data product policies, processes, and standards to maintain high data quality and reliability.
Prepare and present key business cases to support strategic initiatives and drive the expansion of data capabilities.
Analyze disparate internal and external data sources to support product planning and business decision-making.
Oversee the execution of projects, ensuring the adoption of best practices in corporate data culture.
Develop and implement routines and mechanisms to measure product success and drive future improvements based on stakeholder and user feedback.

QUALIFICATIONS DEGREE TYPE

Master’s Degree FIELD(S)

OF STUDY

Computer Science, Business Administration, Data Science, Information Systems, Industrial Engineering or related fields

EXPERIENCE

10+ years of experience in data and/or analytics development and strategy

COMPETENCIES/SKILLS

Proven experience in managing and growing data-focused teams.
Strong strategic thinking and business acumen, with the ability to translate market insights and customer needs into actionable product strategies and initiatives.
Demonstrated ability to develop and implement efficient data strategies aligned with business needs.
Proven track record of developing and managing effective teams, including attracting, retaining, and developing top talent.
Experience working in various organizational models, such as matrixed resources.
Hands-on expertise with modern analytical and statistical tools and techniques.
Strong data architecture skills, including designing and implementing various data schemas (star, snowflake) and relational models.
Familiarity and experience with data warehousing, business intelligence, and data integration strategies, along with knowledge of data querying and programming languages.
Expertise in data analytics, including data mining, regression analysis, and data extraction.
Proficiency in facilitating data reporting, visualization, and data accessibility solutions quickly and efficiently to support business needs.
Experience in data governance, data lineage, and metadata management to ensure data integrity and compliance.
Ability to design and implement various data architecture strategies relevant to business needs.
Strong problem-solving skills, including responding to customer inquiries and business stakeholder concerns.
Effective presentation skills, with the ability to communicate complex information to top management, public groups, and boards of directors.
Experience communicating effectively with internal and external stakeholders across various levels.
Excellence in key competencies, including teamwork, collaboration, analytical thinking, communication, influencing skills, and technical expertise.
Strong interpersonal and teamwork skills.
Agile mindset, capable of iterating quickly and providing early feedback.
Demonstrated ownership of work, a proactive approach to challenges, openness to growth opportunities, and patience while learning new processes.
Expertise in developing and implementing EDW, BI, and Big Data Strategies & Roadmaps (e.g., GCP, Snowflake, Azure, Databricks, SQL Server, Oracle).
Experience implementing data reporting, visualization, and accessibility solutions, including Snowflake, to support business needs efficiently.
Familiarity with MPP platforms such as Snowflake, Azure Synapse, and Redshift.
Business intelligence tool experience (Business Objects is a plus).
Proficiency in ETL/data integration tools such as Informatica, DBT, SSIS, or related Data Service Applications.
Ability to apply advanced mathematical concepts, such as exponents, logarithms, quadratic equations, and permutations.
Experience applying statistical techniques, including frequency distribution, variance analysis, correlation techniques, sampling theory, and factor analysis.
Strong logical and scientific thinking to solve complex intellectual and practical problems.
Ability to analyze abstract and concrete variables in data modeling and forecasting.
Ability to read, analyze, and interpret scientific and technical journals, financial reports, and legal documents.
Experience responding to customer inquiries, regulatory agencies, or business community concerns.
Knowledge of change management and governance frameworks to ensure compliance and risk mitigation.
Analytical skill set, including data mining, regression analysis, and data extraction. Demonstrated excellence in key competencies, such as teamwork, collaboration, analytical thinking, communication, influencing skills, and technical expertise.

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