Data Solutions Architect

Overview

Our team is looking for a Data Solutions Architect to inform and guide the strategic direction for data design solutions that align with business objectives and are scalable and efficient. The Data Solutions Architect will partner with cross functional leadership, program management, data stewards and data SMEs to ensure data and AI product development drives strategic and operational business outcomes. You will be responsible for serving as the product development manager (PDM) of our portfolio of Data and AI projects from conception through delivery, post-delivery and value realization. The body of work includes but is not limited to large transformation initiatives, reengineering efforts, smaller RTE / BAU projects and cross impacted enterprise-wide initiatives.

You Are:

• A visionary leader responsible for defining and implementing the strategic direction for data design solutions to support business objectives. This role entails creating a comprehensive roadmap that aligns with organizational goals, ensuring scalable, secure, and high-performing data systems.
• As a key collaborator with cross functional leadership, the Data Solutions Architect translates business strategy into functional solutions, driving the design and delivery of innovative outcomes that add immediate and long-term value. Someone who is an expert in architecting solutions – business and technical, as well as process reengineering, business transformation and artificial intelligence. Experienced and comfortable leading highly visible, large, complex initiatives, a strategic thinker, proactive player, trusted advisor to senior leadership, and a self-directed professional who inspires others to do the right thing and be their best selves.

You Have:

• 7+ years of experience solving business problems using technology, data, and artificial intelligence
• BS or BA required
• 5+ years working in an agile environment
• Experience with industry tools: Clarity PPM, JIRA, AgileCraft, ATIIM, etc.
• Demonstrated hands on leadership of large-scale process development/improvement initiatives
• A client focus with strong verbal and written communication skills.
• Outstanding organizational and time management skills; ability to multi-task and meet deadlines while working independently and/or in a team environment.
• Proactive problem-solving and information research skills.
• Detail-oriented with emphasis on accuracy.
• The ability to remain flexible due to changing business needs.
• Ability to synthesize metrics and understand their importance in achieving business goals
• Able to see the “big picture”, and influence, engage others to meet common goal

You Will:

Solution Design and Architecture:

• Develop scalable and efficient solution architectures to meet business requirements and associated roadmap.
• Evaluate and recommend tools, technologies, and platforms for business processes.
• Ensure alignment of solutions with enterprise architecture standards and principles.
• Establish and enforce data architecture standards, policies, and best practices. Bring clarity to complex situations to help better define scope and other areas of ambiguity.
• Determine which tools are best suited and effectively using those tools to increase the likelihood of initiative success. Ongoing evaluation and application of lessons learned is another way we promote continuous improvement.

Collaboration and Stakeholder Engagement:

• Work closely with business leaders to understand strategic goals and challenges.
• Collaborate with IT teams, vendors, and partners to ensure solution feasibility and delivery.
• Translate business requirements into technical specifications.
• Serve as product owner to Data & AI delivery teams to drive development in line with priorities

Process Improvement:

• Identify opportunities to optimize business processes using technology.
• Lead efforts to modernize legacy systems and implement innovative solutions.
• Propose automation or integration strategies to enhance efficiency.

Technical Leadership:

• Guide development teams during the implementation phase of projects.
• Oversee the integration of emerging technologies to optimize data systems and analytics
• Provide expertise on system architecture, data flow, and integration points.
• Create and maintain a roadmap that supports business objectives and technical scalability.
• Address technical challenges and ensure high-quality delivery of solutions.
• Governance and Compliance:
• Ensure solutions adhere to industry regulations, data security standards, and organizational policies.
• Monitor and mitigate risks related to solution implement