Associate Director - Data & Analytics - Us

Meytier works with companies across the globe to find top tier talent for their open roles.

At Meytier, we leverage our unique AI & Analytics based smart hiring and talent intelligence technology platform to hire the right people, for the right job, at the right time, using unbiased intelligence that allows companies to do it in an equitable manner. Meytier helps companies hire more qualified diverse candidates and reach their workforce diversity goals. We help candidates level up, represent themselves more effectively, and find opportunities at organizations who are committed to diversity.

Backed by Morgan Stanley as an investor, we are growing fast with our clients across US, UK, and India in Financial Services, Fintech, Software and Professional services from Fortune 500 to VCs and start-ups. Our clients find that our outcomes, technology, and approach is far above what they have seen before. Candidates who work with us say it is the most supportive hiring process that they have ever been through - that Meytier is the champion they needed to help them shine.

We’re hiring for a fast growing, PE backed, NY/NJ based Technology Services business focused on Digital Transformation, Analytics and Product Engineering. With over 80 clients and a global presence across North America, Europe, and Asia, there are ample opportunities for growth and learning in the organization. You’ll be working with like-minded professionals in a collaborative work environment to shape tomorrow’s technology with the latest digital methodologies.

Key Responsibilities:

• Actively manage multiple projects that may be in different phases of development.
• Maintain and encourage open lines of communication between Management, Stakeholders, and Team.
• Rise to the challenge, think on your feet, and problem solve.
• Manage project scope on an ongoing basis using documented change management techniques.
• Engage the team on an ongoing basis to identify project issues, project risks, action plans, and implications and manage those activities.
• Working with the stakeholders and team members to scope, size, and articulate project concepts into clear project objectives, delivery approaches, and plans.
• Proactive in taking initiative for identifying and resolving issues.
• Develop project plans at a task, milestone, and resource level.
• Prepare project budgets, track progress against plan noting exceptions and action plans.
• Manage, motivate, and lead the project team.

Desired Profile:

• Azure cloud experience in Azure data lake and Synapse.
• Experience with Azure Data Factory, Azure Synapse, Azure DataBricks, Blob Storage, SQL Database, SQL Data Warehouse.
• Hands-on experience/expertise in MS stack for Data & Analytics: SQL Server, SSMS, SSIS, SSAS.
• Expertise in Data Warehouse and Data Lake Architecture and responsible for end-to-end architecture of DW/BI systems, requirement analysis, planning & estimation.
• Detailed oriented, self-motivated, and highly organized with solid problem-solving skills.
• Minimum of 10 to 12 years of relevant work experience in a professional software development environment.
• Demonstrated skills in facilitation, teamwork, and leadership.
• Proven track record managing technical software projects
• A proven track record for project planning, executing, controlling, and closing.
• Attend prospect, customer, and internal meetings and assist in the creation of offering development plans and workflows
• Experience working in the Financial or Audit is an asset.
• Strong background in technical requirements gathering and solutioning, data-flow mapping and discovery at customer sites, RFI/RFP responses, software / POC demonstrations, and presentations to business and technical teams.
• Excellent written/oral communication skills with a strong ability and high comfort level for direct-to-client communications.
• Must have strong experience with Data Mining.
• Assist with and drive the development of Proofs-of-Concept (POC's)
• Experience with Azure Data Factory, Azure Synapse, Azure DataBricks, Blob Storage, SQL Database, and SQL Data Warehouse.
• The ideal candidate will have around 10 years of overall experience in the Technology Solutions and Data Analytics industry, with hands-on technical experience and excellent knowledge in a range of technologies across Data Warehousing, Data Lake, Big Data Engineering, ETL / Data Integration on various platforms and technology stacks - Microsoft (Azure is plus)- On-Prem, Hybrid, and Cloud.
• Hands-on experience/expertise in MS stack for Data: SQL Server, SSMS, SSIS, SSAS.
• Act as D&A technical advisor/resource for sales and prospects as they navigate their way through the sales cycle.