Sia Partners is looking to hire a Data Architect Manager to support its growth by leading data projects, developing new business opportunities, and expanding their Data & AI offering to clients.
Requirements
- Data & AI Expertise: Proven experience in applying Data Architecture solutions to several business domains., e.g., financial services.
- Technical Skills: Expertise in Data Modeling, SQL, Python, cloud-based infrastructure (AWS, Azure, GCP) and in one or more of the major data platforms (e.g., Databricks, Snowflake, Fabric, BigQuery, RedShift, etc.)
Responsibilities
- Leading Data Projects: Manage the delivery of Data projects, working across several clients in the US.
- Data & AI Expertise: Proven experience in applying Data Architecture solutions to several business domains., e.g., financial services.
- Technical Skills: Expertise in Data Modeling, SQL, Python, cloud-based infrastructure (AWS, Azure, GCP) and in one or more of the major data platforms (e.g., Databricks, Snowflake, Fabric, BigQuery, RedShift, etc.)
Other
- 7-10 year of experience in a consulting, financial services, fintech and similar environments.
- Team Leadership: Experience in leading and developing high-performing teams, preferably in a consulting environment.
- Client Engagement: Identify opportunities to expand Sia Partners' Data & AI offering to existing clients.
- Professional Networking: Build and maintain external professional peer networks to drive new revenue opportunities.
- Marketing and Thought Leadership: Support marketing campaigns, contribute to external positioning across social networks, work on blogs, and develop Sia Partners’ assets, including methodologies and tools.
- Recruitment and Team Development: Lead recruitment initiatives for the Data & AI team, advise on market positioning, and support the operational and career management of Data & AI consultants.
- Coaching and Mentoring: Mentor colleagues in performance and development, facilitate learning, and enhance the team's technical knowledge and consulting skills.
- Communication: Excellent skills to convey complex technical information in simple terms to various stakeholders.
- Project Management: Strong organizational skills and the ability to manage projects from conception to completion within tight deadlines.
