Data Product Manager
Anblicks Solutions
Key Responsibilities Product Leadership & Strategy
- Define and drive the Client 360 product vision, strategy, and multi-year roadmap
- Establish a scalable, enterprise-grade client data foundation
- Identify and prioritize high-value use cases (reporting, analytics, automation, AI/ML)
- Evangelize the Client 360 vision across business and leadership stakeholders
- Own end-to-end delivery of the Client 360 data product lifecycle:
- Unified client profiles
- Cross-domain data models (sales, finance, engagement etc)
- Client hierarchies, relationships, and segmentation
- Translate complex business needs into clear, actionable product and data requirements
- Define KPIs, success metrics, and product SLAs
- Partner with senior stakeholders across:
- Sales, Account Management, Marketing, Finance, Operations
- Data Engineering, Architecture, Governance, and Analytics teams
- Act as a strategic bridge between business and technical organizations
- Influence decision-making at the leadership level
- Collaborate with engineering teams to design:
- Scalable data pipelines (ETL/ELT)
- Modern data architectures (lakehouse, warehouse)
- Real-time and batch processing capabilities
- Ensure alignment with enterprise data platforms (e.g., Azure, Snowflake, Databricks)
- Drive data governance frameworks for client data:
- Standard definitions, taxonomies, and metadata
- Data lineage, stewardship, and ownership
- Ensure data quality, consistency, and compliance with privacy regulations
- Manage master data and identity resolution strategies
- Enable advanced capabilities such as:
- Client performance dashboards and executive reporting
- Revenue and profitability insights
- Segmentation, trend analysis, and forecasting
- Partner with teams on AI/ML-driven use cases (e.g., client growth, churn, opportunity identification)
- Lead Agile delivery (backlog prioritization, sprint planning, releases)
- Manage trade-offs across scope, timeline, and quality
- Track adoption, usage, and business impact; iterate continuously
- Bachelor's or Master's degree in Computer Science, Data, Engineering, Business, or related field
- 8+ years of experience in:
- Data Product Management / Product Management / Data & Analytics
- Proven experience delivering enterprise-scale data platforms or Client/Customer 360 solutions
- Strong understanding of:
- Data modeling, data warehousing, and distributed data systems
- ETL/ELT pipelines and integration patterns
- Hands-on experience with:
- SQL and BI tools (Power BI, Tableau, Looker, etc.)
- Experience with Client 360 / Customer 360 / MDM (Master Data Management) initiatives
- Familiarity with CRM systems (Salesforce, Dynamics 365, etc.)
- Experience with modern data platforms:
- Azure Data Platform, Snowflake, Databricks, Microsoft Fabric
- Knowledge of data governance, privacy, and compliance frameworks
- Agile/Scrum certification or strong Agile delivery experience
- Strategic thinking with strong execution focus
- Deep data and analytics expertise
- Exceptional stakeholder management and executive communication
- Ability to influence without authority
- Strong problem-solving and decision-making skills
- Customer/client-centric mindset
Vacancy posted 2 days ago
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