Master Data Solution Architect : 00339114
- The Master Data Solution Architect in the Honeywell Analytics department is responsible for applying MDM strategies, requirements and policies aligned to the company's vision, and leading MDM implementations on the Informatica platform.
- The Master Data Management Solution Architect candidate will translate master data requirements into technical specifications, design and oversee the delivery of functional & technical components for master data solutions. This individual will work with business representatives to understand needs and collaborates in generating the best solution to solve business needs.
- This individual is expected to recommend and implement appropriate technical approaches for data management and integration solutions.
- This individual will also be responsible for the analysis, design, development, and maintenance of all master data including the rationalization and management of data across the full lifecycle, and is also accountable for accurate and time critical application of MDM change processes.
- This senior technical architect role will be a proactive member of the IT leadership and solutioning team and will be responsible for data management strategies and deliverables, including activities supporting data standards, data governance processes, data quality, MDM tools, MDM best practices, and MDM implementations.
- The role involves partnership with key stakeholders and is responsible for understanding their environment with its opportunities and challenges, and working to identify and drive contemporary, best-in-class solutions for Honeywell Internal Analytics. This position reports to the Honeywell Internal Analytics MDM Leader.
Job Responsibilities :
- Plan and lead MDM requirement analysis sessions with business users
- Define measurable metrics and the minimal required attributes for each domain or subject area to support robust and successful deployments using the designated MDM platform
- Define requirements for data matching and merging rules, survivorship criteria and data stewardship workflows using the firm's MDM tool
- Thorough understanding of deterministic and probabilistic matching methodologies and master data hierarchy management
- Provide subject matter expertise on data architecture and data integration implementations
- Responsible for generating data management and integration architectural recommendations for database applications and projects
- Understands and leverages enterprise architecture principles, patterns, and reference architectures for cross-functional purposes.
- Be the point of contact with the Honeywell Enterprise Architecture function regarding data management and master data topics
- Participates in architecture and implementation roadmap planning, recommending technologies and solutions
- Identifies and proposes new opportunities for data integration and possible MDM implementations
- Consults with business representatives and work with the Business Analyst to ensure understanding of the business requirements and future strategic direction of the business/function
- Partner with business and functional groups to set strategic master data direction and develop and improve processes and procedures
- Work with SBG & Functional customers to define high-level master data requirements and develop the solution architecture and roadmaps, and recommend comprehensive solutions based on industry best practices and Honeywell Enterprise IT Strategy
- Identify and evaluate opportunities for continuous improvement of data quality, processes and standards
- Support enterprise-wide ERP consolidation initiatives with master data solutions & processes
- Drive integrated technical and functional solution decision making across applications and modules
Basic Qualifications:
- Bachelor's Degree in Information Systems or related field
- At least three (3) years direct experience in MDM analysis, design, development, support and operations with a leading MDM tool suite
- At least five (5) years direct experience in Data, Database and ETL development, support and operations with emphasis on Data quality and Data transformations,
- Enterprise level data analysis and integration work and/or providing data focused systems integration
- Expert level of technical knowledge on data architecture and data integration
- Experience with enterprise-level MDM tools, including Informatica implementations
- Knowledge of ERP practices, concepts and software, SAP (SAP BW, SAP BOBJ, SAP HANA, and SAP BODS) preferred
Additional Qualifications :
- Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities
- Be able to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment
- Strong teamwork and interpersonal skills; ability to communicate and persuade at all management levels and thrive in a cross-functional matrix environment
- Ability to articulate ideas to both technical and non-technical audiences
- Demonstrate effective problem solving skills and ability to manage multiple projects simultaneously
- Demonstrated ability to evaluate and recommend effective, contemporary solutions that align with the Honeywell Enterprise IT strategy and deliver exceptional user experiences
- Demonstrated experience developing data management function with linkage to functional strategy,ensuring cost effective utilization of IT solutions and processes to leverage Enterprise IT teams
- Demonstrated partnership abilities, interpersonal skills, and communication skills to collaborate and coordinate with various business and technical levels/organizations.
- Change agent: Ability to anticipate and execute action plans to proactively manage and drive change in an organization
- Excellent collaboration & negotiation skills: Ability to understand customer needs, negotiate complex issues and total value offerings to our customers
- Strong Coaching and Influencing Skills: Ability to work in a highly matrixed organization and influence without formal authority. Engage enterprise wide support for key business priorities.
- Skilled in leading individual contributors, and delivering solutions in a highly matrixed environment including working globally with remote teams.
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