Job
Description
You are a strategic thinker passionate about driving solutions in Product and Data Management . You have found the right team. As a Vice President -Product and Data Management within our Product and Experience team, you will address existing skills gaps, document requirements, conduct in-depth data analysis, and ensure data governance for Account data domain. You will play a key role in supporting the Panda and its data strategy Job responsibilities Collect data from various sources, streamline data collection methods, and design frameworks and data systems to support efficient data management and analysis. Analyze and interpret collected data, format it for easy understanding, and conduct detailed analysis to identify trends and insights for data-driven decision-making. Leverage automated solutions and tools such as Python, SQL, Tableau, and Alteryx to support sophisticated dashboarding and documentation of data needs. Liaise with AM Panda business stakeholders and cross-functional teams to gather business requirements and translate them into technical specifications. Integrate core data governance and lineage principles to ensure alignment of client reporting data needs and uphold data lineage across domains. Define and enforce data governance policies and procedures, including data quality standards, data integration, data security, and privacy.. Required qualifications, capabilities and skills Atleast 10 years experience in data-related initiatives, ideally within a major financial institution, with strong expertise in data and analytics, particularly in Accounts/Asset Management and Investment Accounting data domains. Strong understanding of relational and NoSQL database concepts Demonstrate advanced technical skills, including proficiency in Python, SQL, Tableau, Alteryx, and other automation tools, along with excellent communication skills to convey complex data concepts to non-technical stakeholders. Exhibit strong business acumen and the ability to address business needs, collaborate effectively across teams, and build strong stakeholder relationships, while conducting in-depth data analysis to identify actionable insights. bachelors degree in computer science, Math, Statistics, or a related field. Preferred qualifications, capabilities and skills Certifications such as Certified Associate (CCA) Data Analyst, or Certified Analytics Professional (CAP) are advantageous. Masters degree in engineering or computer science and possess a creative mindset for designing innovative data solutions.
