Primary Job Duties & Responsibilities
Chair the Bond Data Center of Excellence to ensure effective and consistent Data Architecture across Value Streams.
Define Bond data architecture vision, strategy, principles and standards; get buy-in from stake-holders, management, business partners, and propagate throughout the division based on corporate guidelines and procedures.
Provide framework, stewardship, governance and decision making for management of data for project development teams, business users and other stake-holders.
Serve as an expert resource on matters of data architecture to business and Technology staff in all phases of data warehouse and data mart development, implementation and support.
Provide guidance to development application areas by applying knowledge of data warehouse design, extract-transform-load (ETL) design and development.
Balance short-term versus long-term actions, strategic versus tactical requirements, while continuing to move forward towards the strategic vision. Establish an architecture roadmap covering transactional, operational and business intelligence. Ensure architectural adherence through blueprint and design reviews.
Incorporate into Bond the enterprise data management methodology and standards for data modeling and data architecture.
Create appropriate standards, processes and tools to promote and facilitate:
Mapping of data sources
Documenting interfaces and data movement
Designing the movement of data through the enterprise:
Defining integrative views of data especially for analytic purposes
Focus on data quality:
Put in place governance processes around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of meta-data.
Participate in developing consistent definitions for common reference data.
Establish measures to chart progress related to completeness and quality of meta-data for enterprise information, to support reduction of data redundancy and fragmentation, elimination of unnecessary movement of data, and improvement of data quality.
Provide input on large-scale projects and road maps for compatibility with the vision.
Drive selection of data management tools, and the development of standards, usage guidelines and procedures for those tools.
Define the process to resolved cross-organizational data management issues.
Provide consulting support for the roll-out of meta-data management processes and tools.
Research and document information architecture standards and best practices.
Define meta-data checklists and requirements to be met at the project level and to be included in project plans.
Management of the relationship with project teams using / implementing meta-data management processes.
Provide support on use of common enterprise information models and promote their use and enhancement by new projects.
Job Specific & Technical Skills & Competencies
Has a broad conceptual understanding of capabilities and direction of technology, coupled with an in-depth knowledge of the technology required and the needs of business environment necessary to support assigned projects. Has a thorough understanding of staff roles and abilities and provides input regarding their development needs. Problem Solving & Decision Making: Demonstrates advanced analytical and diagnostic skills dealing with issues that are often novel and not readily defined, lack known precedent or appear contradictory. Able to develop solutions by applying accepted processes or creating new approaches to leverage technology from abstract information. Sees the big picture, and is fully aware of technology and business directions. Has department, corporate and group objectives in focus while identifying and removing barriers. Optimizes the use of all available resources. Bases decisions on an accurate understanding of the situation, is able to infer future needs of known and unprecedented situations based on an advanced understanding of technology and business objectives. Effectively assesses the long-term and short-term implications of decisions on the department, corporation and group. Team Orientation: Maintains partnerships across the organization, and is able to influence senior management, peers and staff through an inclusive style and recognition of their abilities to achieve results. The success of the team is above own interest. Self-Management: Manages cross-functional objectives and/or priorities supporting assigned business area(s). Responsibilities are assigned with latitude for decision making. Results reviewed periodically according to predefined objectives. Sets level of risk taking, and gathers/synthesizes information to all appropriate levels of the organization. Commitment to Quality Result: Provides direction and effectively leads by example to ensure that all services are meeting the stated business objectives on a timely basis with excellent quality, at a reasonable cost. Keeps all areas informed of developments affecting their function. Demonstrates flexibility, anticipates customer needs, and effectively communicates in a manner consistent with the audience. Educates and influences customers on the most effective use of technology, from both a short-term and long-term perspective. Planning and Project Management: Ensures all planning done on a project level is supportive of the business strategic plans. Executes projects accurately and on time. Critical planning is required as modifications are difficult and costly and may impair achieving of departmental and corporate objectives. Change requires reassessing and adjusting tactical and/or operational direction. Financial Awareness: Understands all fiscal budgeting and expense control for area of responsibility. Demonstrates sound cost-effectiveness. Responsible for important and confidential information.
The primary function of this Lead Data Architect position is to provide architectural guidance, technological recommendations and transition strategies that support the development and implementation of data warehousing and analytical reporting initiatives while also providing hands-on consultation and modeling experience to other large initiatives within the Bond and SI Technology space. Focus is on the development of an end to end information architecture and strategy, playing a lead role on projects by providing the appropriate data architecture solutions and ensuring alignment with the overall data management strategies.
7 years of experience in:
Creating and maintaining end to end data architectures
Logical, access, and physical, data modeling
Normalized and dimensional data modeling techniques
Data analysis and mapping
Creation and usage of metadata
Working knowledge of modeling tools (e.g., Computer Associates (CA) AllFusion: ERWIN Model Manager, IBM Rational Suite, Rational (RSA & RDA))
Hands-on technical experience using data warehouse, business intelligence and analytics products
Excellent communication and facilitation skills
Team oriented with excellent collaboration skills
Attention to detail, and a commitment to quality work
Exhibits leadership qualities
Experience working in a matrixed organization
Experience in Property Casualty insurance, Bond and Financial Products a plus
Strong access modeling/SQL Query skills leaning towards the physical data modeling practice a plus
Education, Work Experience & Knowledge
Bachelor's degree in a related field preferred. 7 years of experience in enterprise, application, and/or information architecture preferred. 3 years of experience as a technical lead preferred. Experience managing others preferred.
High School diploma or equivalent required. 5 years of experience in enterprise, application, and/or information architecture required. 1 year of experience as a technical lead required.
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