Lead - Data Governance & Data Quality - Pharma/Insurance - Pune- 12+ years
Hiring for Lead - Data Management & Governance role coming with at least 12 years of experience in total. The role requires leading a team that engages and works closely with the Distribution teams, and their partners (Client Service, Marketing, Product, Finance, Data Delivery/Business Intelligence, and Technology).
In this role, you will be expected to apply your data management & governance background in order to make important contributions across a diverse array of projects and support functions. The role will require managing a team that is engaged in in-depth data engineering, data manipulation, exploration, and analysis on a day-to-day basis.
Location - Pune
Roles & Responsibilities-
Responsible for data management activities like Trade Transparency / Attributions, company/contact data management, global data maintenance & governance, managing data models/workflows, integrations, stewardship & enhancements.
Provide deep knowledge of application/data warehouse functionality and requirements and drive workshops, planning, and execution.
Initiate/support various global projects - Develop and manage projects, ensure timely quality deliverables, and report project progress.
Lead ongoing release management to continuously enhance the solutions; act as a link between the business stakeholders and Technology/vendor during the design, build, test, and implementation phases.
Responsible to build a scalable and sustainable organization, managing controls agenda, and have a defined engagement & governance model with key stakeholders with identified metrics and performance parameters.
Driving collaborations/partnerships with related functions/groups in the broader organization and driving team integrations.
Skills & Requirements-
Strong academic background with established analytical, programming, and technical skills (Certifications in CRM, Data Management/Analytics & Data warehouse domain is preferable).
Strong experience in key areas of data management including data architecture, engineering modeling, data quality, and data security.
Strong knowledge of data architectures, ability to understand data flow, and implement effective data management techniques (includes performing root cause analysis, data wrangling, UATs, Bulk Upload, monitoring/reconciling data feeds from various sources, and ensuring implementation of controls/governance in smooth transition over into the systems).
Ability to delve into details with a view to proactively solving issues, developing new ideas, and adding value to existing functions.
Effective planning and time management skills to meet strict deadlines or changing priorities (able to self-prioritize and set expectations of others accordingly).
If this role looks interesting to you, you may reach me directly at email@example.com
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