Manager - Enterprise Analytics

Overview:

The Manager – Enterprise Analytics is responsible for establishing and scaling our enterprise-wide data strategy while overseeing an analytics team that serves multiple business units. The ideal candidate will combine technical expertise with business acumen to drive data-driven decision-making throughout the organization.

Operational Leadership:

• Execute the vision for enterprise analytics in alignment with business objectives, promoting a culture of data literacy and insight-driven decision-making.
• Lead the implementation and maturity of a flexible analytics model that can support centralized, decentralized or federated structures.
• Champion the adoption of advanced analytics, AI, and machine learning to drive innovation and business growth.

Technology and Data Management:

• Contribute to the selection and oversee the implementation and support of analytics tools, platforms, and infrastructure for data ingest, data pipeline creation, data warehousing, data visualization and data science.
• Collaborate with IT, data security, and other technical teams to ensure data integrity, scalability, and reliability across the organization.

Governance and Standardization:

• Establish and enforce governance structures, including data access policies, security protocols, and ensure compliance with data privacy and security regulations.
• Standardize analytics methodologies, tools, and platforms while ensuring flexibility for individual business unit needs.
• Create and monitor key performance indicators (KPIs) to track the success of the enterprise analytics team and the impact of analytics initiatives across ALS.

Team Development and Talent Management:

• Lead, mentor, and develop a team of analytics professionals, assisting business units with hiring and retention of their analytics talent.
• Design and implement training and upskilling programs to elevate analytics competencies throughout the organization, specifically to include deep knowledge in Snowflake, Dataiku and Power BI.

Education & Experience

• Bachelor's degree in Data Science, Computer Science, Business Analytics, or a related field; Master's degree preferred.
• At least 5 years of experience in data analytics, data management, or related fields.
• At least 1-2 years of leadership experience, ideally within a matrixed organization.

Skills and Abilities:

• Ability to work on cross-functional initiatives in a fast-paced environment and contribute to enterprise-wide digital transformation initiatives.
• Project management skills, including applying agile methodology to data projects.
• Proven expertise with modern data analytics platforms and data management tools.
• Ability to work effectively at strategic, tactical, and operational levels.
• Excellent stakeholder management and communication skills.
• Strong understanding of data engineering concepts, cloud analytics infrastructure (preferably Azure), and data warehousing, with capability to be hands-on if needed.
• Experience with AI/ML and predictive analytics concepts and tools.
• Proficiency in Snowflake, Dataiku, Power BI, SQL, and Python preferred.
• Excellent communication and interpersonal skills, with an emphasis on writing and presenting.
• Ability to influence at all levels of the organization.
• Strong strategic thinking, project management, and problem-solving abilities.
• Collaborative leadership style, focusing on cross-functional partnership and stakeholder engagement.

Alliance Team Members Demonstrate DRIVE:

• Dedicated: Follows through on commitments. Strong say/do.
• Respectful: Acts with integrity and values diverse perspective.
• Innovative: Always looking for a better way; leads change.
• Versatile: Adapts quickly to changing circumstances. Demonstrates agility.
• Engaged: Acts like an owner. Wants to create and grow a business which is tightly aligned with market needs.