Sr Business Intelligence Architect-American Honda Motor Co.

Job Description

Job Title: Sr Business Intelligence Architect

Company: American Honda Motor Co.

Location: Marysville, OH

Pay: $85300 – 128000 per year

AI Pay Analysis: The hourly rate for a Sr. Business Intelligence Architect in Marysville, OH, translating to an annual salary range of approximately $85,300 to $128,000, appears to be competitive and generally aligns with industry standards for similar roles nationwide, albeit slightly lower than average in some tech-centric urban areas. According to various salary data sources, such as Glassdoor and Payscale, the average salary for this position often falls between $100,000 and $140,000, depending on experience, expertise, and specific market conditions. Therefore, while the offered range is reasonable for the region, candidates with significant experience or specialized skills may seek compensation at the higher end of the spectrum.

Job description:
The Data Analytics Principal Architect will be responsible for developing, curating, and executing comprehensive architectures, policies, practices, procedures, and data management strategies that address the information lifecycle requirements of the organization. This role will also encompass conducting market and functional research to enhance the organization’s operational capabilities.

Key Accountabilities include collaborating with leadership to define and implement long-term strategic objectives for business intelligence and data science initiatives. This involves researching, testing, and adopting emerging technologies while overseeing knowledge management within the realms of data science and business intelligence. The successful candidate will establish and lead governance frameworks for enterprise analytics, ensuring the integrity and enhancement of data quality, completeness, and redundancy. Additionally, the role requires the promotion of a robust cloud analytics strategy.

The Data Analytics Principal Architect will lead and mentor a high-performing team dedicated to business intelligence and data science, aligning deliverables with the organization’s data strategy and a focus on quality customer service. Building and maintaining both North American and global relationships will be essential for fostering trust and credibility while understanding and addressing the needs of internal and external stakeholders. Utilizing persuasive skills to achieve strategic objectives with Enterprise IT will be a critical aspect of this role.

Workstyle is hybrid, requiring at least three days per week onsite at the local office in Ohio.

Please note that this position is not eligible for visa sponsorship.

Qualifications include a degree in computer science, information systems, or computer engineering, or equivalent work experience.

Minimum experience required encompasses over 15 years in Data Sciences, Data Analytics, Business Intelligence, Data Engineering, and Information Management, along with certifications in relevant analytics, data science, and business intelligence tools. Candidates should possess expertise in strategy development, project execution, and operations management.

Other job-specific skills include:
– A proactive, self-driven individual with a strong sense of ownership.
– A collaborative team player capable of building relationships with customers and colleagues to earn trust and influence outcomes.
– Proven experience in crafting strategies, roadmaps, and lifecycle plans specific to analytics.
– Excellent oral and written communication and presentation abilities.
– Solid understanding of relational data structures, theories, and principles.
– Technical prowess and practical implementation experience in analytics, business intelligence platforms, solutions, and architectures.
– Proficiency with BI tools such as Power BI, Tableau, SAP Cloud Analytics, SAP Business Objects, Moxie-based dashboards, and Crystal Reports.
– Background in Data Sciences, including machine learning models, algorithms, data wrangling, and Data Ops.
– Familiarity with Data Sciences tools such as Dataiku, Open Data Hub, and SageMaker.
– Experience with SQL and database platforms including MS SQL Server, DB2, Oracle, and PostgreSQL.
– Knowledge of cloud-based technologies, encompassing cloud connectivity options, data storage solutions (S3, Glacier), data lakes, master data management, data cataloging, cloud warehouses (Redshift, etc.), cloud ETL/ELT tools, cloud databases (RDS, DynamoDB), cloud infrastructure (EC2, EKS), and cloud/on-premise BI products (Power BI, Tableau).

Job Posting Date: Sat, 18 Jan 2025 08:17:48 GMT

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