VP 数据管理

Vice President Data Management
Department: Data Management
Location: Remote (USA-based, with travel as required)
Job Summary
The Vice President of Data Management is an executive leader responsible for overseeing client engagement strategy, delivery success, account growth, and financial performance across a diverse set of industry verticals (e.g., Sports & Entertainment, Media, CPG, Manufacturing, Energy, CPG etc).
This role combines hands-on leadership in data management with a consultative approach to solving complex enterprise data challenges. The ideal candidate will have prior experience in a global consulting firm, a strong background in enterprise data management (EDM), and a track record of owning P&L, building high-performing teams, and delivering measurable client outcomes across varied sectors.
Key Responsibilities
40% Vertical Expansion & Strategic Growth

• Drive $10M+ in annual revenue through the growth of client accounts across diversified industries.

• Build industry-specific go-to-market strategies and consultative solutions in EDM, data governance, data platforms, and analytics.

• Lead client portfolio strategy and collaborate with business unit leaders to shape offerings and account pursuits.

• Act as a strategic advisor to client executives across industries, identifying opportunities to expand data and analytics services.

30% Client Relationship Leadership

• Serve as the executive sponsor for client engagements, ensuring business value delivery and client satisfaction.

• Cultivate long-term C-level relationships and identify opportunities for cross-sell and upsell into data, digital, analytics, cloud, and AI/ML.

• Conduct executive business reviews, ROI demonstrations, and client feedback sessions to ensure alignment with client goals.

• Lead strategic solutioning and proposal development for complex data transformation programs.

15% Engagement Oversight & Operations

• Oversee delivery excellence through structured engagement metrics, governance, and financial tracking (revenue, margins, utilization).

• Manage SOW execution, change orders, and project escalations to ensure delivery success.

• Coordinate with finance, delivery, and resourcing to forecast, provision, and optimize account profitability.

10% Leadership & Talent Development

• Mentor project leaders, solution architects, and client partners; build a culture of innovation, accountability, and continuous improvement.

• Participate in recruiting, onboarding, and skills development initiatives across the data management practice.

• Serve as an executive presence in internal forums and industry events to elevate brand and talent attraction.

5% Cross-BU Collaboration & Other Duties

• Partner with leaders from analytics, digital, and AI/ML to develop joint offerings.

• Contribute to IP development, industry playbooks, and reusable accelerators in EDM and cloud data solutions.

Qualifications

• Bachelors or Masters degree in Information Systems, Computer Science, Engineering, or related field.

• 15+ years of experience in enterprise data management and transformation (EDM, data warehousing, MDM, data quality, governance).

• 10+ years in a consulting or professional services environment, with delivery, practice, and business development responsibilities.

• Prior P&L ownership and demonstrated success in growing multi-million-dollar accounts across different industries.

• Experience leading pre-sales, proposals, and solution shaping with cross-functional delivery and sales teams.

Nice to Have

• Domain expertise in at least 2 - 3 industries such as CPG, Retail, Manufacturing, Sports & Entertainment.

• Familiarity with cloud data platforms (Snowflake, Databricks, GCP, AWS, Azure), MDM tools, and governance frameworks.

• Certifications in Agile, PMP, or industry-standard data governance frameworks (e.g., DAMA-DMBOK).

• Exposure to emerging technologies like AI/ML, GenAI, and real-time data integration tools.

Key Skills & Competencies

• Expertise in leading large-scale, cross-functional delivery teams (onshore/offshore).

• Strong executive communication and stakeholder engagement skills.

• Deep understanding of SDLC, agile methodologies, and data modernization strategies.

• Proven consultative approach to client problems and solution selling.

• Analytical and financial acumen in managing forecasts, staffing, and revenue targets.

Supervisory Responsibilities

• Direct oversight of account leads, project managers, and solution architects across engagements.

• Provides regular feedback, performance evaluations, and growth path development for team members.

• Collaborates with HR and competency leads to manage hiring and team health.

Originally posted on Himalayas