Lead and manage the execution of Prophix’s data and analytics strategy to enable data-driven decision making.
Build, coach, and lead a team of data professionals to deliver strategic and tactical data solutions.
Partner with senior leaders across functions to gather requirements, prioritize needs, and define measurable outcomes.
Design and oversee the architecture and operations of Prophix’s data infrastructure, including data warehousing, MDM, data governance, and reporting platforms.
Champion a culture of data literacy and experimentation across the company.
Operationalize advanced analytics capabilities, including dashboards, predictive models, and self-service reporting.
Define and implement enterprise-wide policies for data governance, security, lineage, and quality.
Collaborate cross-functionally to integrate analytics into core business workflows and KPIs.
Track and report progress on key initiatives and delivered business value to stakeholders.
Ensure compliance with data regulations and advocate for ethical data usage.

Requirements

5+ years of senior leadership experience in data and analytics, including data governance and data platform management.
Proven experience building and leading cross-functional data teams in fast-paced, complex environments.
Demonstrated success translating strategic goals into actionable analytics initiatives with measurable impact.
Hands-on experience with data ecosystems including Snowflake, Tableau, Power BI, Matillion, and Azure.
Strong understanding of data lifecycle management, architecture, metadata, lineage, and MDM.
Track record of delivering enterprise-wide dashboards, AI/ML models, and self-service analytics tools.
Effective stakeholder engagement skills across technical and non-technical audiences, including C-level executives.
Deep experience with Agile methodologies, modern SDLC practices, and cloud-based data solutions.
Strong communication and presentation skills with the ability to simplify complex topics.
Bachelor's degree in Computer Science, Data Analytics, Engineering, or Business; MBA or Master’s preferred.
Comfort using AI tools responsibly to support tasks such as research, drafting, or data review
Curiosity and openness to exploring new approaches
Collaborative mindset when working with teams and technology
Must be legally entitled to work in the country where this role is located

Benefits

Comprehensive health, dental, vision, and mental-health coverage
Retirement savings with employer contributions
Parental leave top-up
Annual wellness allowance
Generous paid time off including vacation and sick time
Social events, team activities, and opportunities to build community
Opportunities to participate in Environmental, Social, and Governance (ESG) initiatives
Quarterly Town Halls and Kickoffs that bring teams together to celebrate wins, share updates, and look ahead at what’s next

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data governancedata platform managementdata lifecycle managementdata architecturemetadata managementdata lineagemaster data management (MDM)AI/ML modelsself-service analyticsdashboards

Soft Skills

leadershipstakeholder engagementcommunicationpresentationcollaborationcuriosityopenness to new approachescoachingstrategic thinkingproblem-solving

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Data AnalyticsBachelor's degree in EngineeringBachelor's degree in BusinessMBAMaster’s degree