Overview
You'll work on Terry Brooks' Business Process Management team at Wealth Enhancement, a wealth management firm. Your job is to map existing workflows, find inefficiencies, implement process improvements using Lean Six Sigma methodologies, and explore where AI can automate manual work. This isn't salesâit's operational problem-solving in a financial services environment.
Role Snapshot
| Aspect | Details |
|---|---|
| Role Type | Business Process Analyst/Operations Associate |
| Function | Process optimization, workflow mapping, AI exploration |
| Department | Business Process Management (Rev Ops adjacent) |
| Reports To | Senior Manager, BPM (Terry Brooks) |
| Team Size | Small team, early-stage function |
| Travel | Minimal to none |
Company Context
Stage: Established wealth management firm
Size: Unknown (likely 200-1000+ employees based on having dedicated BPM function)
Industry: Financial Services / Wealth Management
Market Position: One of many wealth management firms competing for high-net-worth clients
What You'll Actually Do
Time Breakdown
Process Mapping/Analysis (40%) | Implementation Projects (30%) | Meetings/Stakeholder Management (20%) | Learning/Training (10%)
Key Activities
- Process Documentation: Interview advisors, ops teams, and client service reps to map how things currently work. You'll create flowcharts, identify handoffs, and document where things break down or take too long.
- Data Collection & Analysis: Pull data from CRM, client onboarding systems, and compliance tools to measure cycle times, error rates, and bottlenecks. Build Excel models or dashboards to track improvement metrics.
- Improvement Projects: Lead small process improvement initiatives using Lean Six Sigma tools (DMAIC framework, root cause analysis, pilot testing). Examples: streamlining client onboarding, reducing compliance review time, fixing inefficient advisor workflows.
- AI Exploration: Research where AI/automation could helpâthings like automating data entry, intelligent document processing, or chatbot implementations. This is exploratory, not building production AI systems.
- Training & Change Management: Once improvements are designed, you'll train teams on new processes and deal with resistance from people who liked the old way.
The Honest Reality
What's Hard
- Political Navigation: People don't like being told their process is inefficient. You'll encounter resistance from teams who've "always done it this way" and don't want change.
- Slow Implementation: Financial services moves slowly due to compliance requirements. A simple process change can take months to get through legal and risk review.
- Ambiguous Problems: You'll be asked to "fix" things without clear requirements. Half your job is figuring out what the actual problem is before you can solve it.
- Limited Authority: You can recommend changes but can't force implementation. You're influencing without direct control.
- Unglamorous Work: Much of your time is spent in spreadsheets, attending meetings, and writing documentation. It's not sexy.
What Success Looks Like
- Successfully implementing 2-3 process improvements per quarter that measurably reduce cycle time or error rates
- Building credibility with stakeholders so teams start coming to you with problems
- Documenting processes clearly enough that someone new could follow them
- Identifying 1-2 viable AI use cases and getting budget approval to pilot them
Who You're Working With
Internal Stakeholders:
- Financial Advisors (frustrated with admin work, want more client time)
- Operations Teams (doing repetitive manual work, compliance-focused)
- Client Service Reps (dealing with onboarding bottlenecks)
- IT/Technology Teams (guardians of systems, cautious about changes)
- Compliance/Risk (will say "no" to most of your ideas initially)
What They Care About:
- Advisors: "Don't add more work to my plate"
- Operations: "Will this actually make my job easier or just different?"
- IT: "Does this integrate with our existing systems?"
- Compliance: "What's the risk exposure?"
Requirements
- Process thinking: Ability to break down complex workflows into steps and identify where things go wrong
- Data comfort: You'll work in Excel daily. SQL or data visualization tools (Tableau, Power BI) are a plus but not required
- Communication skills: You'll interview people to understand their work, present findings to management, and write documentation
- Project management: Juggling multiple improvement initiatives at once, keeping stakeholders updated, hitting deadlines
- Lean Six Sigma knowledge: Helpful but not mandatoryâTerry can train you. Yellow Belt or Green Belt certification is a plus
- Change management: Patience dealing with resistance and ability to build buy-in without authority
- No financial services background required: They'll teach you the wealth management business; they want someone who can think in processes
Reality Check
This is a "ground floor" opportunity, which means:
- Pro: You'll have influence in building the function and can shape how process improvement works at the company
- Pro: Direct mentorship from a Lean Six Sigma expert who's hands-on
- Pro: Exposure to AI/emerging tech in a real business context
- Con: The function is new, so you might lack resources, tooling, or executive air cover when things get political
- Con: You're not going to revolutionize the company overnight. Financial services firms are risk-averse and slow to change
- Con: Career path is unclearâthis could lead to senior process roles, rev ops, or operations management, but it's not a defined ladder
Best fit for: Someone early in their career who likes solving operational puzzles, doesn't mind the grind of change management, and wants to learn process optimization and AI applications in a real business setting. Not great for people who need fast-paced environments or clear upward mobility paths.