Senior Data Architecture Lead

Job Description:

The Senior Data Architecture Lead will oversee the design, development, and maintenance of complex data solutions.

This role requires strong technical leadership skills, project management, team building, mentoring and interpersonal skills, a deep understanding of data architecture and technology, and an understanding of partner engagement models.

This role will directly report to the Head of Solution Development.

Key Responsibilities:

• Lead the team responsible for developing scalable, efficient, and innovative data solutions that address complex business problems.
• Oversee the end-to-end process of solution development, including data ingestion, storage, processing, analysis, and visualization.
• Develop comprehensive solution architectures, including identifying key components, integration points, and potential challenges, ensuring alignment with industry requirements and business objectives.
• Ensure design flexibility for integration of various data sources and platforms, optimizing for both real-time and batch processing where needed.
• Design and build custom data pipelines and dashboards, leveraging emerging technologies
• Implement best practices in the development of data analytics solutions to maintain security, privacy, and legal compliance and collaborate with relevant domain owners for review and compliance.
• Collaborate with senior leadership to align data and analytics goals with broader company objectives, focusing on business value creation through IP and analytics.
• Lead and mentor a team of data scientists, analysts, engineers, and IP professionals to foster a culture of innovation, collaboration, and continuous learning.
• Deliver solutions on time and within budget.
• Facilitate knowledge sharing across teams and ensure that data solutions are scalable, secure, and aligned with the organization's overall technological roadmap.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science or a related field (MS or MBA preferred).
• 15+ years of experience in IT with 10 years + in data & analytics solution development, IP management, or a related field, with at least 4+ years in a leadership or senior management position.
• Proven track record of successfully developing data-driven solutions (e.g., AI/ML models, analytics platforms, data pipelines) and managing a diverse IP portfolio.
• Experience working with cross-functional teams, including legal, R&D, and product teams, to develop and protect analytics-related IP.
• Strong understanding of emerging trends in data analytics technologies, such as big data, cloud computing, and artificial intelligence.
• Deep technical knowledge in data analytics, machine learning, or related fields, combined with strong business acumen.
• In-depth understanding of intellectual property laws, patent filings, and IP strategy in the technology sector.
• Strong negotiation, communication, and relationship-building skills.
• Ability to manage complex, cross-functional projects while ensuring alignment with organizational goals.
• Excellent leadership and people management skills, with a focus on fostering an innovative, collaborative environment

What You'll Bring:

• Ability and willingness to learn.
• Collaborative attitude and team player.
• Very strong analytical skills.
• Ability to independently manage critical situations.
• Story building skills.
• Critical thinker and problem-solving skills
• Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
• Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
• Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.