Sr Manager, Data & Analytics

Summit Access Solutions,LLC•Coraopolis, PA

3d•Hybrid

About The Position

The Senior Manager of Data & Analytics will lead and grow a high-performing team responsible for delivering strategic data solutions across Vanscoy Rare Pharmacy. Reporting to the Director of Data Analytics, this role will oversee data engineering, analytics, and reporting functions. This role will ensure alignment with business goals, regulatory standards, and technology best practices. The Senior Manager will drive innovation, operational excellence, and cross-functional collaboration to enable data-driven decision-making across the organization. This is a chance to lead a growing organization with a growing data and analytics landscape. The Senior Manager of Data & Analytics will support the organization’s evolving AI and advanced analytics initiatives by identifying opportunities for intelligent automation, anomaly detection, predictive analytics, workflow optimization, and AI-assisted reporting capabilities. This role will partner with operational and executive leadership to evaluate emerging technologies and data-driven strategies that improve reporting efficiency, business intelligence, and decision-making across the organization. AI-enabled capabilities should be implemented with appropriate governance, security, auditability, and human oversight to support operational, compliance, and organizational objectives. Additionally, the Senior Manager of Data & Analytics will also provide leadership, mentorship, and strategic direction to analysts, engineers, and other data team members while promoting best practices in analytics, data engineering, documentation, and reporting standards. This role may be responsible for prioritizing initiatives, managing departmental workloads, and aligning data and analytics resources with organizational priorities, operational goals, and long-term strategic initiatives.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
8+ years of experience in data engineering, analytics, or business intelligence, with at least 3 years in a leadership role.
Expertise in data modeling, ETL processes, and data warehousing concepts.
Proficiency in Azure Data Factory and Azure Synapse Analytics.
Strong knowledge of SQL and experience with database management systems.
Knowledge of Power BI for creating reports and dashboards.
Knowledge of programming languages such as Python, Scala, or Java.
Proven experience managing teams and delivering enterprise-level data solutions.
Excellent problem-solving and analytical skills.
Strong communication, leadership, and stakeholder engagement skills.
Ability to lead and mentor data analysts and engineers.
Detail-oriented with a focus on data quality and accuracy.

Nice To Haves

Experience with Snowflake a plus.
Experience with SSIS and Tableau or PowerBI a plus.
Certification in Microsoft Azure Data Engineering or related areas.
Experience in the healthcare or pharmaceutical industry.

Responsibilities

Develop and execute a strategic roadmap for data engineering and analytics aligned with organizational priorities.
Build, lead, and manage a team of data engineers, analysts, and BI specialists.
Foster a culture of innovation, accountability, and continuous improvement.
Collaborate with internal stakeholders—including pharmacists, business leaders, and IT—to define data needs and deliver impactful solutions.
Prioritize and manage multiple projects, ensuring timely delivery and high-quality outcomes.
Translate business requirements into scalable data strategies and technical execution plans.
Oversee the design and optimization of data pipelines, data lakes, and data warehouses using Azure Data Factory, Synapse Analytics, and other modern tools.
Ensure robust data governance, security, and compliance with industry regulations.
Guide the development of dashboards and reports using Power BI and other visualization platforms.
Monitor performance of data infrastructure and analytics workflows, identifying opportunities for efficiency and scalability.
Implement quality assurance processes to ensure data accuracy, reliability, and consistency.
Evaluate and adopt emerging technologies to enhance data capabilities.
Provide coaching and career development support to team members.
Lead recruitment efforts for new roles within the data & analytics team.
Promote knowledge sharing and professional growth through training and mentorship.
Assist with the development, implementation, and maintenance of enterprise data governance frameworks, including data ownership, stewardship, lineage, retention policies, master data standards, and data quality controls.