Growth Product Manager - Data & Analytics

Wipfli LLP; United States; Remote; USD 117,000 - 158,000; Full time

Job summary

At a leading firm, a Data & Analytics Product Manager will enhance sales and marketing through the design and implementation of data products. The primary focus includes developing roadmaps for data tools, collaborating across teams, and advocating for data-driven decisions, making this position integral for growth.

Benefits

Health Plan Options

401(k) Savings Plan & Profit Share

Flexible Time Off

Qualifications

• 5+ years of experience in product management, with at least 3 years focused on data products.
• Demonstrated experience supporting sales and marketing analytics.
• Background in professional services, accounting, or financial services a plus.

Responsibilities

• Develop and execute the product roadmap for data and analytics tools supporting Sales and Marketing.
• Design and implement dashboards, reports, and predictive models providing actionable insights.
• Manage product lifecycle from conception through deployment and enhancement.

Skills

Communication

Data Visualization

Business Intelligence

Education

Bachelor's degree in Business, Analytics, Computer Science

MBA or Master's preferred

Tools

Tableau

Power BI

SQL

Salesforce

Job description

Overview

At Wipfli, people count.

At Wipfli, our people are core to everything we do—the catalyst behind our ability to create exceptional impact and extraordinary results.

We believe in flexibility. We focus on relationships. We encourage each individual to follow their own path.

People truly matter and they feel it. For those looking to make a difference and find a professional home, Wipfli offers a career-defining opportunity.

Responsibilities

As the Data & Analytics Product Manager supporting Growth, you will design, develop, and implement data products that enhance our sales and marketing effectiveness. You'll collaborate across departments to identify opportunities, translate business requirements into technical specifications, and deliver analytics solutions that drive measurable business outcomes.

Responsibilities:

• Develop and execute the product roadmap for data and analytics tools supporting Sales and Marketing teams
• Partner with Growth leaders to understand business objectives and translate them into data product requirements
• Design and implement dashboards, reports, and predictive models that provide actionable insights
• Lead the development of client acquisition and retention analytics to identify revenue opportunities
• Create and manage product KPIs to measure success and drive continuous improvement
• Collaborate with data engineers, analysts, and IT teams to ensure effective implementation
• Stay current on industry trends in data analytics, marketing technology, and professional services
• Advocate for data-driven decision making throughout the organization
• Conduct user research and feedback sessions to improve product adoption and effectiveness
• Manage product lifecycle from conception through deployment and enhancement

Knowledge, Skills and Abilities

Qualifications:

• Bachelor's degree in Business, Analytics, Computer Science, or related field; MBA or Master's preferred
• 5+ years of experience in product management, with at least 3 years focused on data products
• Demonstrated experience supporting sales and marketing analytics
• Strong understanding of data visualization, business intelligence tools, and CRM systems
• Knowledge of data modeling, data governance, and analytics best practices
• Experience with agile development methodologies
• Excellent communication skills with ability to translate complex technical concepts for non-technical audiences
• Background in professional services, accounting, or financial services a plus

Technical Skills:

• Proficiency with BI tools such as Tableau, Power BI, or Looker
• Experience with CRM platforms (Salesforce, MS Dynamics, HubSpot, or similar)
• Familiarity with data warehousing concepts and SQL
• Understanding of marketing automation platforms and analytics tools
• Knowledge of machine learning and predictive analytics concepts

Benjamin Dzanic, from our recruiting team, will be guiding you through this process. Visit his LinkedInpage to connect!

#LI-REMOTE #LI-BD1

Additional Details

Additional Details:

Wipfli is an equal opportunity/affirmative action employer. All candidates will receive consideration for employment without regards to race, creed, color, religion, national origin, sex, age, marital status, sexual orientation, gender identify, veteran status, disability, or any other characteristics protected by federal, state, or local laws.

Wipfli is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or participate in our recruiting process, please send us an email [e-mail]

Wipfli values fair, transparent, and competitive compensation, considering each candidate's unique skills and experiences. The estimated base pay range for this role is $117,000 to $158,000, with offers typically not made at the maximum, allowing for future salary increases. The actual salary at the time of offer depends on business related factors like location, skills, experience, training/education, licensure, certifications, business needs, current associate pay, and relevant employment laws.

Individuals may be eligible for an annual discretionary bonus, subject to participation rules and based on a variety of factors including, but not limited to, individual and Firm performance.

Wipfli cares about our associates and offers a variety of benefits to support their well-being. Highlights include 8 health plan options (both HMO & PPO plans), dental and vision coverage, opportunity to enroll in HSA with potential Firm contribution and an Employee Assistance Program. Other benefits include firm-sponsored basic life and short and long-term disability coverage, a 401(k) savings plan & profit share as well as Firm matching contribution, well-being incentive, education & certification assistance, flexible time off, family care leave, parental leave, family formation benefits, cell phone reimbursement, and travel rewards. Voluntary benefit offerings include critical illness & accident insurance, hospital indemnity insurance, legal, long-term care, pet insurance, ID theft protection, and supplemental life/AD&D. Eligibility for all benefits programs is dependent on annual hours expectation, position status/level and location.