Director, Operational Data & Reporting, Direct Distribution & Partnerships

About the Team – USRM Data Office

Ensuring that data is a competitive differentiator for our enterprise, the USRM Data Office sets strategic data product visions, governs data for quality and compliance, develops best-in-class data and reporting solutions, and continuously seeks to optimize the value that data creates for our customers and company. Our team includes data analysts, data stewards, data strategists, and data product owners — performance-driven individuals who make sure that data is appropriately leveraged across every layer of our business.

As a People Leader on the Operational Data & Reporting team within the USRM Data Office, you will lead a talented group of 3–6 highly technical analysts focused on delivering high-quality, scalable reporting and data solutions impactful for our Direct Distribution and Partnerships (DDP) organizations. You will also coordinate and provide work direction to an extended team of offshore analysts, partnering with the offshore team-lead to ensure alignment of priorities and delivery standards. Your stakeholders span Direct (DRC and Digital Sales) and the Strategic Partner Group (SPG) — business-facing audiences who rely on your team to translate their needs into meaningful, trusted, and transparent data solutions. You will serve as a key thought partner to senior leadership, drive prioritization & intake discipline, and foster the continued growth and career development of a strong, high-performing team.

Note: This is a ranged position that will consider candidates for either the Manager II, Data Solutions or Director I, Data Solutions role, depending on experience and qualifications.

**This position may have in-office requirements dependent upon candidate location.**

Responsibilities

Team Leadership & Development

• Lead, mentor, and develop a team of 3–6 data solutions analysts across mixed experience levels, providing technical coaching, career development guidance, and a clear growth path tailored to each individual's career journey.
• Delegate work effectively by equipping team members with the right context, clearly defined scope, and appropriate autonomy so they can execute with confidence and ownership.

• Coordinate and provide day-to-day direction to an extended team of offshore analysts, partnering effectively across time zones and with the offshore team lead to ensure alignment on priorities, quality standards, and delivery expectations.

• Foster a collaborative, high-performing team culture that values continuous learning, technical excellence, and career development, including staying current with emerging tools, AI capabilities, and data engineering methodologies.
• Serve as the primary point of escalation for complex technical or project challenges, driving timely resolution and removing blockers for the team.

Stakeholder Engagement & Prioritization

• Serve as the primary intake and prioritization lead for all data and reporting requests from Direct (DRC and Digital Sales) and SPG stakeholders — triaging, consolidating similar asks, and assigning work based on organizational value, leadership priorities, and team capacity.
• Act as a skilled interpreter between business-facing stakeholders and a highly technical team by translating ambiguous or non-technical requests into well-scoped, technically actionable data and reporting deliverables.
• Build strong, trusted relationships with stakeholders by deeply understanding their goals, needs, and pain points, while proactively surfacing insights, managing expectations with transparency, and bridging the gap between business intent and technical delivery.
• Set and communicate clear expectations for delivery timelines, scope, and prioritization by proactively surfacing tradeoffs and managing stakeholder alignment to avoid rework and delays

Strategy & Delivery

• Partner with senior leadership as a strategic thought partner by contributing to roadmap planning, investment prioritization, organizational strategy, and the evolution of the team's capabilities and ways of working.
• Guide the creation of initiative roadmaps, shaping the team's project portfolio from initial ideation through successful delivery, while continuously identifying opportunities to simplify, standardize, and modernize reporting solutions.
• Oversee the design, development, and maintenance of scalable, reusable reporting and data solutions that support executive, manager, and analyst decision-making & self-service data consumption across Direct Distribution and SPG.
• Ensure technical quality and best practices across the team's output including dimensional modeling, SQL, Power BI, and Python-based solutions with the credibility to actively coach and review team members' work.
• Champion data quality practices, including metadata management, lineage, and governance principles, ensuring solutions are trustworthy, compliant, and aligned with enterprise standards.

The Ideal Candidate Will:

• Bring a strong technical foundation in dimensional modeling, SQL, Power BI, and Python ( or closely related tools) with enough hands-on depth to credibly mentor and coach a highly technical team.
• Demonstrate a proven track record of leading and developing analysts, with genuine investment in team members' growth and long-term career paths.
• Excel at stakeholder engagement by building trusted partnerships with business-facing leaders, listening actively, and translating vague or non-technical asks into clear, prioritized, and actionable work.
• Bring structured thinking to intake and prioritization being comfortable making and defending recommendations on what the team works on, in what order, and why.
• Operate effectively as a strategic thought partner to senior leadership, contributing beyond execution to roadmap vision and organizational direction.
• Communicate with clarity, confidence, and purpose in both written and verbal settings, adapting appropriately for technical and non-technical audiences.
• Stay curious and forward-looking, actively exploring how emerging tools, AI capabilities, and modern data engineering practices can elevate the team's impact.

Preferred experience includes:

• 5-7+ years of experience in data management, analytics, business intelligence, or related data environments.
• 2+ years of people leadership experience, with demonstrated success leading, coaching, and developing technical teams.
• Strong technical foundation in dimensional modeling, SQL, and Business Intelligence tools (Power BI or equivalent); hands-on experience with Python or scripting languages strongly preferred.
• Demonstrated ability to manage intake and prioritization across multiple stakeholder groups, with strong judgment on business value, organizational impact, and team capacity.
• Proven ability to translate vague or business-facing requests into well-scoped, technically actionable work.
• Experience with data quality practices, metadata management, lineage, and governance principles preferred.
• Familiarity with cloud data platforms (e.g., Snowflake, AWS) and modern data pipeline practices a plus.
• Experience supporting distribution, sales, digital, or partnerships domains preferred but not required.
• Exceptional written and verbal communication skills, with the ability to engage effectively across both technical and non-technical audiences.

• Strong written and oral communication skills required
• Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred
• Master`s in same or related disciplines strongly preferred
• 7-10 years experience in coding for data management, data warehousing, or other data environments, including, SQL, SAS, Snowflake and using Business Intelligence tools like PowerBI.
• 7-10 years experience with top quadrant Business Intelligence tools
• Able to identify stakeholder and customer pain points and strategically address those concerns
• Able to describe value and influence the prioritization of data solutions
• Able to organize and balance resources to address customer pain points
• Guides a team to break down data issues and resolve them, by prototyping data solutions to meet the needs of both the organization and business customers